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Latticework Wealth Management, LLC

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Latticework Wealth Management, LLC

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Happy New Year, Beginning Thoughts, and Information for International Viewers

27 Friday Dec 2019

Posted by wmosconi in active investing, asset allocation, Average Returns, behavioral finance, benchmarks, bond market, cnbc, Consumer Finance, economics, Education, finance, financial advice, Financial Advisor, financial goals, financial markets, Financial Media, financial planning, financial services industry, gross returns, historical returns, Individual Investing, individual investors, investing, investing advice, investing information, investing tips, investment advice, investments, market timing, passive investing, personal finance, portfolio, rebalancing, rebalancing investment portfolio, risk, risk tolerance, risks of bonds, risks of stocks, S&P 500, S&P 500 Index, statistics, stock market, Stock Market Returns, Stock Market Valuation, stock prices, stocks, Valuation, volatility

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I am looking forward to sharing more information regarding investing, finance, economics, and general knowledge about the financial services industry in 2020.  I am hopeful to increase the pace with which I publish new information.  Additionally, I am happy to announce that I reached viewers in 108 countries in all six continents.  Countries from Japan, France, Germany, and Russia to Ghana, Colombia, and even Nepal.

Since the number of my international viewers has grown to nearly 30% of overall viewers of this blog I wanted to allocate a short potion of this post to the international community.  Some of my comments are most applicable to the US financial markets or the developed markets across the globe.  If you are living in a country that is considered part of the developing markets, I would strongly recommend that you seek out information in your country to see how much of my commentary is applicable to your stock or bond market and situation in general.  It is extremely important to realize that tax structure, transparency of information, and illiquidity of stock and bond can alter the value of what I might say.  During the course of the coming year, I will attempt to add in some comments to clarify the applicability.  However, as the aforementioned statistic regarding the global diversity of viewers of this blog suggests, I would be remiss if I did not acknowledge that I will not hit on all the issues important to all international individual investors.

I encourage you to take a close look at your portfolio early on in 2020.  It is a perfect time in terms of naturally wanting to divide up investing into calendar increments.  As you listen to all the predictions for the New Year, I would encourage you to look at your personal portfolio and financial goals first.  The second step is to always look at that economist’s or analyst’s predictions at the beginning of 2019.  Now I am not implying that incorrect recommendations in the previous year will mean that 2020 investing advice will be incorrect as well.

To help you with a potential way to look at the outlook for positioning your portfolio of investments, I recently published a summary on the topic of rebalancing a portfolio.  You can find the link below:

https://latticeworkwealth.com/2019/12/14/rebalancing-investment-portfolio-asset-allocation/

Now, there will always be unknown items on the horizon that make investing risky.  You hear that we need to get more visibility before investing in one particular asset class or another.  It usually means that the analyst wants to be even more certain how the global economy will unfold prior to investing.  I will remove the anticipation for you.  There will only be a certain level of confidence at any time in the financial markets.

One can always come up with reasons to not invest in stocks, bonds, or other financial assets.  The corollary also is true.  It can be tempting to believe that it is now finally “safe” to invest even more aggressively in risky stocks, bonds, or other assets.  As difficult as it might be, you need to try to take the “emotion” of the investing process.  Try to think of your portfolio as a number rather than a dollar amount.  Yes, this is extremely difficult to do.  But I would argue that it is much easier to look at asset allocation and building a portfolio if you think of the math as applied to a number instead of the dollars you have.  Emotional reaction is what leads to “buying high and selling low” or blindly following the “hot money”; that is when rationality breaks down.

Here is an experiment for you to do if you are able.  There are two shows I would recommend watching once a week.  The first show is Squawk Box on CNBC on Monday which airs from 6:00am-9:00am EST.  The second show is the Closing Bell on CNBC on Friday afternoon which airs from 3:00pm-5:00pm EST.  You only need to watch the last hour though once the stock and bond markets are closed.  Note that these shows do air each day of the week.  Now depending on whether or not you have the ability to tape these shows first and skip through commercials, this exercise will take you roughly 12-16 hours throughout the month of January.  You will be amazed at how different the stock and bond markets are interpreted in this manner.

When you remove the daily bursts of information, I am willing to bet that you will notice two things:

Firstly, Friday’s show should demonstrate that many “experts” got the weekly direction of the market wrong.  It is nearly impossible to predict the direction of the stock market over such a short period.

Secondly, Monday’s show should illustrate what a discussion of all the issues that have relatively more importance are.  However, this is not always a true statement though.  Generally though, financial commentators and guests appearing on the show will have had the entire weekend to reflect on developments in the global financial markets and current events.  Since the stock, bond, and foreign exchange markets are closed on Saturday and Sunday, there is “forced” reflection for most institutional investors, asset managers, research analysts, economists, and traders.  The information provided is usually much more thoughtful and insightful.

I believe that the exercise will encourage you to spend less time attempting to know everything about the markets; rather, it may be more helpful to carefully allocate your time to learning about the financial markets.  After you devote your time to watching CNBC in this experiment, I recommend one other ongoing personal experiment.  Try picking three financial market guests that appear on CNBC during January and see how closely their predictions match reality.  You might want to check in once a month or so.  I think that this exercise will show you how futile it is to try and time and predict the direction/magnitude of the stock market and other financial markets too (e.g. bonds and real estate).

Best of luck to you in 2020!  As always, I would encourage anyone to send in comments or suggestions for future topics to my email address at latticeworkwealth@gmail.com.

Top Five Investing Articles for Individual Investors Read in 2019

09 Monday Dec 2019

Posted by wmosconi in asset allocation, Average Returns, behavioral finance, beta, bond yields, confirmation bias, correlation, correlation coefficient, economics, finance theory, financial advice, Financial Advisor, financial advisor fees, financial advisory fees, financial goals, financial markets, Financial Media, Financial News, financial planning, financial services industry, gross returns, historical returns, Individual Investing, individual investors, investing, investing advice, investing information, investing tips, investment advice, investment advisory fees, investments, market timing, personal finance, portfolio, reasonable fees, reasonable fees for financial advisor, reasonable fees for investment advice, reasonable financial advisor fees, risk, risk tolerance, risks of stocks, S&P 500, S&P 500 historical returns, S&P 500 Index, speculation, standard deviation, statistics, stock market, Stock Market Returns, stock prices, stocks, time series, time series data, volatility, Warren Buffett, yield, yield curve, yield curve inversion

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behavioral finance, bond market, bond yields, bonds, economics, economy, education, fees, finance, Financial Advisors, financial advisory, fixed income, historical stock returns, invest, investing, investing advice, investing blogs, investing information, investment advice, math, mathematics, performance, portfolio, reasonable financial advisory fees, recession, risk, risk tolerance, S&P 500 historical returns, S&P 500 Index, standard deviation, statistics, stocks, success, time series, time series data, trading, uncertainty

As the end of 2019 looms, I wanted to share a recap of the five most viewed articles I have written over the past year.  The list is in descending order of overall views.  Additionally, I have included the top viewed article of all time on my investing blog.  Individual investors have consistently been coming back to that one article.

1. Before You Take Any Investment, Advice Consider the Source – Version 2.0

Here is a link to the article:

https://latticeworkwealth.com/2019/09/18/investment-advice-cognitive-bias/

This article discusses the fact that even financial professionals have cognitive biases, not just individual investors.  I include myself in the discussion, talk about Warren Buffett, and also give some context around financial market history to understand how and why financial professionals fall victim to these cognitive biases.

2.  How to Become a Successful Long-Term Investor – Understanding Stock Market Returns – 1 of 3

Here is a link to the article:

https://latticeworkwealth.com/2019/09/23/successful-long-term-investing/

It is paramount to remember that you need to understand at least some of the history of stock market returns prior to investing one dollar in stocks.  Without that understanding, you unknowingly set yourself up for constant failure throughout your investing career.

3.  How to Become a Successful Long-Term Investor – Understanding Risk – 2 of 3

Here is a link to the article:

https://latticeworkwealth.com/2019/09/25/successful-long-term-investor-risk/

This second article in the series talks about how to assess your risk for stocks by incorporating what the past history of stock market returns has been.  If you know about the past, you can better prepare yourself for the future and develop a more accurate risk tolerance that will guide you to investing in the proper portfolios of stocks, bonds, cash, and other assets.

4.  Breakthrough Drugs, Anecdotes, and Statistics – Statistics and Time Series Data – 2 of 3

Here is a link to the article:

https://latticeworkwealth.com/2019/11/20/breakthrough-drugs-statistics-and-anecdotes-time-series-statistics/

I go into detail, without getting too granular and focusing on math, about why statistics and time series data can be misused by even financial market professionals.  Additionally, you need to be aware of some of the presentations, articles, and comments that financial professionals use.  If they make these errors, you will be able to take their comments “with a grain of salt”.

5.  Breakthrough Drugs, Anecdotes, and Statistics – Introduction – 1 of 3

Here is a link to the article:

https://latticeworkwealth.com/2019/11/11/breakthrough-drugs-statistics-and-anecdotes-investing/

I kick off this important discussion about the misleading and/or misuse of statistics by the financial media sometimes with an example of the testing done on new drugs.  Once you understand why the FDA includes so many people in its drug trials, you can utilize that thought process when you are bombarded with information from the print and television financial media.  Oftentimes, the statistics cited are truly just anecdotal and offer you absolutely no guidance on how to invest.

                                       Top of All Time

Are Your Financial Advisor’s Fees Reasonable?  Here is a Unique Way to Look at What Clients Pay For

Here is a link to the article:

https://latticeworkwealth.com/2013/08/07/are-your-financial-advisors-fees-reasonable-here-is-a-unique-way-to-look-at-what-clients-pay-for/

This article gets the most views and is quite possibly the most controversial.  Individual investors compliment me on its contents while Financial Advisors have lots of complaints.  Keep in mind that my overall goal with this investing blog is to provide individual investors with information that can be used.  Many times though, the information is something that some in the financial industry would rather not talk about.

The basic premise is to remember that, when it comes to investing fees, you need to start with the realization that you have the money going into your investment portfolio to begin with.  Your first option would be to simply keep it in a checking or savings account.  It is very common to be charged a financial advisory fee based upon the total amount in your brokerage account and the most common is 1%.  For example, if you have $250,000 in all, your annual fee would be $2,500 ($250,000 * 1%).

But at the end of the day, the value provided by your investment advisory is how much your brokerage account will grow in the absence of what you can already do yourself.  Essentially you divide your fee by the increase in your brokerage account that year.  Going back to the same example, if your account increases by $20,000 during the year, your actual annual fee based upon the value of the advice you receive is 12.5% ($2,500 divided by $20,000).  And yes, this way of looking at investing fees is unique and doesn’t always sit well with some financial professionals.

In summary and in reference to the entire list, I hope you enjoy this list of articles from the past year.  If you have any investing topics that would be beneficial to cover in 2020, please feel free to leave the suggestions in the comments.

Breakthrough Drugs, Statistics, and Anecdotes: Three Things Every Individual Investor Needs to Know – Yield Curve Inversion and Recession – Part 3 of 3

02 Monday Dec 2019

Posted by wmosconi in Uncategorized

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balanced probit model, BIS, bond yields, bonds, econometrics, economics, fixed income, forecast, forecasting, investing, math, mathematics, probabilities, probit, probit model, recession, spreads, statistics, yield curve, yield curve inversion

Here is the last article related to our discussion of observations by the financial media with only a handful of observations, statistics, and time series data.  The goal here is to provide an actual example to see what some of the pitfalls are.  Prior to starting that discussion, I wanted to provide links to the first and second articles:

The first article laid the groundwork for the idea that there are many misuses of statistics and related items which appear most everyday in the print and television financial media.  Here is a link:

https://latticeworkwealth.com/2019/11/11/breakthrough-drugs-statistics-and-anecdotes-investing/

The second article focused more on time series data and using the normal distribution to make conclusions and predictions about the financial markets.  As promised, I will be posting a more detailed mathematical article as a supplement.  However, the point of this article is only to make you aware of what to look for in general.  You do not need to feel the need to get very granular.  The audience that really wants more information has contacted me offline and is very small.  Here is a link:

https://latticeworkwealth.com/2019/11/20/breakthrough-drugs-statistics-and-anecdotes-time-series-statistics/

Now let’s begin our journey to sum up these two articles by using the specific example of a “yield curve inversion”.  First, what exactly is the yield curve?  Okay, we are going to keep this explanation simple.  The point of this article is not to become an expert on bond yields.  The yield curve is simply the interest rate (referred to as “coupon” in the financial jargon) of bonds at certain maturities.  For U.S. Treasury issues, you normally look at the interest rate on one-month, three-month, and six-month  U.S. Treasury Bills.  Then you add in one-year, two-year, three-year, five-year, seven-year, and ten-year U.S. Treasury Notes.  And finally, you have the thirty-year Treasury Bonds (otherwise referred to as the “long bond” in financial jargon).  Why bills, notes, and bond?  It is simply a naming convention for all U.S. Treasury debt less than twelve-months is a bill, between one-year and ten-years is a note, and anything greater than ten-years is a bond.  Once you know all those interest rates, you draw a line that connects all of those interest rates from one-month U.S. Treasury Bills all the way to thirty-year U.S. Treasury Bonds.

Why do people focus on this?  Well, first, you would expect that interest rates for one-month bills to be lower than thirty-year bonds.  Think of it like this:  if your friend borrowed $20 and was going to pay you back at the end of the week or in three years.  What interest rate would you charge him/her?  Now a totally altruistic person would say nothing.  But let’s say you are trying to teach your kids the value of money.  Most people would charge a greater amount of interest for three years compared to one week.  The U.S. Treasury debt market works very similarly.  People who loan the government money for one month normally demand a lower interest rate than those people who are going to have to wait thirty years to get their money back.  When the economy is growing normally, the yield curve is called steep.  It goes from lower interest rates and gradually moves higher.  But that is not the only shape of the yield curve possible.

The other two are flat and inverted.  A flat yield curve simply means that interest rates all along the various maturities are pretty much the same.  Now, as our article will shift to, an inverted yield curve means that closer maturities actually have a higher interest rate than the very long-term maturities.  Why does this happen?  Well, most economists and financial professionals will tell you that the economy is slowing down and a recession is coming.  Why?  The last 7-8 recessions were preceded by a yield curve inversion.  Let’s take a look at the yield curve over time by comparing two-year U.S. Treasury Notes with ten-year U.S. Treasury Notes.  Keep in mind that we are taking a look at the difference between the two.  A number that is positive means that interest rates are higher for ten-year bonds and a negative number means just the opposite.

Here is a daily comparison from June 1, 1976 through November 6, 2019:

Daily Spreads - All Data

Here is the same comparison but on a monthly basis:

Monthly Spreads - All Data

I used a graph of the month difference (“spread”) to smooth out some of the volatility.  Now if you remember your economic history, you will notice that there are negative “spreads” that occur prior to a downturn in the U.S. economy.  Let’s focus on the yield curve inversion prior to the Financial Crisis.  As you can see, the yield curve was inverted at various times over the course of 2006 to 2008.  It took approximately two years from the yield curve inversion before the Financial Crisis hit in full force in September 2008.  Because this pattern has occurred before, economists and financial professionals appearing on television or writing articles have pointed to the yield curve inversion just recently.

But you should take a closer look at the latest inversion of the yield curve.  It is only a small difference and only lasted for a short period of time.  I will blow it up to investigate and will show November 1, 2018 through October 31, 2019:

Daily Spreads - 2018 to 2019

I had to use a one-year timeframe to even be able to get the difference in interest rates to show up.  So, for a period during August 2019 and September 2019,  there were a plethora of financial markets’ articles and television commentators who talked about how soon a recession would take place in the U.S. economy.  In fact, there were days when over 25% of the day’s coverage of financial market news focused only on this yield curve inversion.  Now, will the U.S. economy go into recession in the next 12-24 months?  Well, that is still an open question.  The main point is that the financial news media focus on things that have similar patterns for only a brief period of time.  Even worse though, financial “experts” who know very little about the bond market and economics start making predictions.  And, as I have said many times in the past, the financial news media rarely, if ever, invites guests back or has another article written about how wrong they were.

Lastly, you will sometimes here people say that there is a 30% chance that the U.S. economy will enter a recession in the next 12-24 months.  Where does that percentage come from?  Oftentimes, it is a “best guess”.  Unless you hear that same financial professional talk about a probity econometric model that came up with that percentage of recession probability, you should take the comment with a “grain of salt”.  Trust me though, most financial professionals are not running probit models when they tell you their opinion on this matter (related to an inverted yield curve or due to another topics/event).  In the supplemental article that is forthcoming, I will actually discuss a panel probit model that the Bank of International Settlements (BIS) just ran to look at the phenomenon of yield curve inversion preceding a recession in an economy.  It is not that the percentages derived are “correct” per se.  The important point is that they are not “pulled out of a hat” by someone.

I hope that this series of articles has been helpful in covering this important topic.  The main takeaway is that, whenever you hear or read about a financial market prediction, you should always look to see how many examples (observations) are being used.  If it is less than 30, you should not take it very seriously at all.  Additionally, any time series data that is trending upward or downward cannot be used to talk about the financial markets.  Remember you need to first-difference the time series data or adjust it in some other manner.  Why?  Otherwise, there may be correlations between two or more time series that just are not really there because the trend dominates.  (Please refer to the second article for more information in this regard).  So, please be more aware and skeptical of what you hear or read.  It is not that the information/prediction is totally wrong.  The salient thing is that it should be based on sound statistics and mathematics.

Breakthrough Drugs, Statistics, and Anecdotes: Three Things Every Individual Investor Needs to Know – Statistics and Time Series Data – Part 2 of 3

20 Wednesday Nov 2019

Posted by wmosconi in asset allocation, correlation, correlation coefficient, finance theory, financial advice, Financial Media, Financial News, financial services industry, historical returns, Individual Investing, individual investors, investing, investing advice, investing tips, risks of stocks, standard deviation, stock market, Stock Market Returns, time series, time series data

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correlation, correlation coefficient, Financial Market History, financial markets, Financial Media, Financial News, invest, investing, investing tips, math, mathematics, noise, statistics, time series, time series data

The first article of this three-part series covered the broad strokes of this issues to be aware of in terms of all the “data” and “relationships” that get thrown around by the financial media (print and television).  Most of the discussion uses data points that are not statistically significant to draw any sort of conclusion.  In fact, time series data is notoriously hard to model and predict the future.  Additionally, the specific time series data of stock market returns is even more difficult.

You can refer to the link below to examine the content of the first article:

https://latticeworkwealth.com/2019/11/11/breakthrough-drugs-statistics-and-anecdotes-investing/

The task at hand for the second article is to put some “meat on the bones” of the discussion.  I realize that anything to do with math and statistics is not easy for everyone (or of interest either).  Therefore, I will be writing a supplemental article that covers the mathematics and statistics in more detail.  The goal here is to be able to identify some of the more common errors that you will encounter.

The first item to talk about is any sort of data that has a substantial trend component.  In layman’s terms, there is a data series where the line graph goes up or down in more of a straight-line manner.  You can think of the Gross Domestic Product (GDP) of the United States here.  Every year the GDP figures will generally go up unless there is a recession.  But, even after the recession passes, the trend for GDP will resume upward.  So, where does the problem come in?

I am going to give a contrived example to illustrate why it is dangerous to compare two series that are trending.  The example will consist of two different equations which are trends.  Both have the same trend component and an error term (we will call that eta).  The variables will be exactly the opposite.  More specifically, the two equations we will use are the following:

Trend_1 = Time + 100 + 0.9 * x + eta

Trend_2 = Time +100 – 0.9 * x + eta

Now the x values and eta values were simply generated by selected variables at random between 0 and 1.  The eta values were also selected at random between 0 and 1.  You can think of eta as representing the general “noise” that occurs on a daily basis when observing stock prices in the financial markets.  So, let’s graph the first 100 observations for these two equations:

Trend_Graph_Statistics_Revised

You will notice that the trend component dominates the line graphs.  However, we know by construction that the two equations which produce trend_1 and trend_2 are fundamentally different.  Now the correlation coefficient between those two equations is 0.9984.  A correlation coefficient of 1 means that the two lines move in lockstep.  Why is this important?  Why is it very dangerous?

Well, financial pundits will talk about these types of graphs all the time.  It looks like there is some relationship, but we know there is very little relationship between the two trends.  In fact, we can look at these equations by subtracting the current value from the previous value to see what changes.   Formally, this topic is called first differencing.  It will allow us to see more clearly what we already know.  Here is the graph:

First_Difference_Graph_Statistics_Revised

Now we have a totally different picture.  We can see that at many times the two trend equations are moving in exactly the opposite direction.  In fact, the correlation coefficient for the first-differenced equations is 0.2675.  There is only a slight positive relationship between the two trends.

In the example above, we can see that looking at the two trends is very deceiving.  Remember that I added the eta term to represent “noise” that is always present in financial market data.  So, anytime someone talks to you about the comparison of two trends, you should be very skeptical.  You always want to see first-differenced data or at least a comparison of changes in some manner.  Otherwise, you will mistakenly assume that there is a strong positive or negative relationship between two time series.

The second example that I am going to use is stock market returns for the S&P 500 Index from 1966 through 2018.  Why start at 1966?  Well, the S&P 500 Index started with its current number of component stocks back in 1957, and I would like to show annual stock returns and also ten-year annualized returns.  This particular topic can get messy quite quickly, so I am not going to cover it in a lot of depth with statistical and mathematical jargon.  For those of you who are interested, I had mentioned that it will be contained in a forthcoming supplemental article.

A great many individuals in the financial markets talk about stock market returns in the same breath as the normal distribution.  What is the normal distribution?  It is the old bell curve that you are familiar with.  The normal distribution is symmetrical and tails off at the end as more and more data points are gathered.  Well, stock market returns are anything but strongly normal.

Let’s first take a look at one-year stock market returns for the S&P 500 Index.

One Year Returns - Histogram - Non Normal

A useful test to see if a particular distribution is normal is the Jarque-Bera test.  Now it is not necessary to know exactly what is being calculated.  However, you should refer to the bottom of the box that reads “Probability”.  The value of 0.179 is called a p-value.  A p-value less than or equal to 0.10 means that we can reject the hypothesis that the one-year distribution of stock returns is normal.  At a value of 0.179, we would not reject the hypothesis of normality for this distribution.  However, the p-value in our case is not large enough to be totally sure and confident. But what about looking at annualized stock market returns over ten-year periods?

We can look at a similar graph to check to see if stock market returns over longer timeframes are indeed akin to the normal distribution (i.e. the bell curve).  Here is the graph:

Ten Year Returns - Histogram - Non Normal

Looking at the same “Probability” value, we have 0.489.  Therefore, we cannot reject the hypothesis that these stock market returns follow a normal distribution. Looking at ten-year annualized stock market data tells us that we can use the normal distribution as an assumption for calculating statistics.

Now why does this matter?  Well, you will here over and over again statistics that apply only to the normal distribution in relationship to actual, observed stock market returns.  We have just seen that stock market returns over the short-term stock returns weakly follow the normal distribution. On the other hand, long-term stock returns are definitely normal. Now I will not get into the technicalities, but time series data is indeed asymptotically normal.  What?  Say again?

This is just a fancy way of saying that, as the number of data points (sample size) approaches infinitely, the time series will look like the normal distribution.  Pretty much all financial market and economic data have very few data points.  In fact, you usually need several hundred data points prior to making any assumptions and using the statistics related to the normal distribution (think standard deviation or correlation coefficients).

Thus, most of the banter in the financial media is just subjective notions of what is going on in the stock market and the economy. More often than not, an assertion by someone in the financial print or television media is more of an educated guess than based on a solid mathematical foundation. That fact explains why financial pundits hedge their statements. Like I say half-jokingly, “I see the stock market going up in the next several months, but of course it might not resume its uptrend or could even take a leg downward”.

Well yes, I guarantee you that every day stocks will go up, down, or remain unchanged. This type of daily commentary in the financial press about the short-term performance of stocks (or other financial assets) is just not helpful and can be downright distracting you from investing for your long-term financial goals.

I apologize for getting too detailed in certain parts of this article.  What are the key takeaways?  First, you should be extremely leery of drawing any conclusions from the comparison of two or more data series that are trending upward or downward.  Second, you need to have several hundred observations prior to invoking any reference to the normal distribution.  So, what is left after that?  As you might imagine, there are not too many comparisons or studies that pass the muster to give you insights on investing or actionable information to make changes to your investment portfolio.

Don’t focus on the mathematics or statistics.  All you need to remember are the two takeaways above.  And, first and foremost, you should always be skeptical whenever you are presented with comparisons and statistics related to the financial market or the economy as a whole.

How to Become a Successful Long-Term Investor – Summary

30 Monday Sep 2019

Posted by wmosconi in asset allocation, behavioral finance, correlation, correlation coefficient, Dot Com Bubble, Emotional Intelligence, EQ, financial advice, Financial Advisor, financial goals, financial markets, financial planning, financial services industry, historical returns, Individual Investing, individual investors, investing, investing advice, investing information, investing tips, investment advice, investments, market timing, math, personal finance, portfolio, risk, risk tolerance, risks of stocks, S&P 500, S&P 500 historical returns, S&P 500 Index, standard deviation, statistics, Stock Market Returns, stock prices, stocks, volatility

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asset allocation, behavioral finance, education, finance, historical stock returns, investing, investments, math, mathematics, performance, performance monitoring, portfolio, portfolio management, S&P 500, S&P 500 historical returns, S&P 500 Index, statistics, stock returns, stocks, success, successful long term investing, trading, uncertainty

The discussion of how to become a successful long-term investor in my three-part series is now finished.  However, the journey is an ongoing one that takes discipline, constant learning, and monitoring your emotional reactions to fluctuations in the financial markets.  I discussed the history of stock market returns of the S&P 500 Index (dividends reinvested) from 1957-2018, the concept of risk, and also the futility of trying to engage in “market timing”.  But you may be asking yourself, why didn’t you tell me what stocks, bonds, and other assets to buy to build my investment portfolio?  That is a valid question, and there is an extremely important reason why that gets at the very heart of my overall discussion.

The best way to answer the question posed above is with an analogy.  Now my international readers will have to indulge me with this example.  My favorite sport is football which is the most popular sport in the world.  Most people in the United States refer to it as soccer and only watch if the men’s or women’s teams are competing in the World Cup.  I could tell you all about the reasons why football clubs rarely use a 4-4-2 formation.  Or I could talk about how the 4-2-3-1 formation has evolved in the Bundesliga.  We also could discuss why goalies now need to be good with their feet in order to pass from the backline.  Finally, I might even be more specific and give my rationale for why Liverpool in the Premier League uses a 4-4-3 formation given their current squad for the 2019-2020 season.

My analogy above relates to long-term investing because I would argue that you should not invest a single dollar in the stock or bond markets without knowing about the history of returns, risks and volatility, and “market timing”.  Most Financial Advisors (FAs), Certified Financial Planners (CFPs), and Registered Investment Advisors (RIAs) jump right into the discussion of how to build an investment portfolio taking into account your financial goals and risk tolerance.  This conversation is directly related to the football analogy above.  Without a firm understanding of investing at a high level (or the general way football is played first), you are likely to fail in your resolve to stick with a long-term focus while investing.  For example, when you are asked if you can tolerate a 20% decline in the stock market, how should you answer?  I would say that, if you do not have some grasp of historical returns and the level of risk, you cannot properly answer.  Remember that we covered how often you will experience negative returns (including 20% declines) in the first article.  You need to understand the “composition of the forest before deciding how to deal with the trees”.

Here are the links to the three articles to have an understanding of first prior to jumping into the mix of long-term investing strategy and building an actual portfolio of investments.

Part 1 – Understanding Historical Stock Market Returns:

https://latticeworkwealth.com/2019/09/23/successful-long-term-investing/

Part 2 – Understanding and Managing Risk:

https://latticeworkwealth.com/2019/09/25/successful-long-term-investor-risk/

Part 3 – Giving up on the Allure of “Market Timing”:

https://latticeworkwealth.com/2019/09/28/successful-long-term-investing-market-timing/

Once you have a firm grasp on these topics, you are ready to get your feet wet in the world of investing.

For those of you wanting a little bit of guidance because your intention is the manage your investments personally, I have written about this topic in the past.  I wrote a two-part series on how to build an investment portfolio and monitor the performance returns of that investment portfolio.  I have included the links below:

Part 1 – Building an Investment Portfolio:

https://latticeworkwealth.com/2013/07/16/how-to-create-an-investment-portfolio-and-properly-measure-your-performance-part-1-of-2/

Part 2 – Monitoring the Performance of an Investment Portfolio:

https://latticeworkwealth.com/2013/07/19/how-to-create-an-investment-portfolio-and-properly-measure-your-performance-part-2-of-2/

Those two articles above will provide you with some ways to go about creating your own investment portfolio without the assistance of a financial professional.  While it does contain a lot of information and suggestions, individual investors who are complete novices may find it easier and less confusing to seek out someone to guide them with investment selection, measuring risk tolerance, and understanding the goals of their financial plan.

In summary, I appreciate you taking the time to read my thoughts in regard to successful long-term investing.  As you can see successful investing has more to do with preparation, setting realistic expectations, and knowing how you personally respond to risk.  These topics need to be studied prior to investing money yourself or before going to seek out investment advice from a financial professional.  If you have any questions, comments, feedback, or disagreements, you can feel free to let me know.

How to Become a Successful Long-Term Investor – Part 3 of 3 – The Folly of Market Timing

28 Saturday Sep 2019

Posted by wmosconi in Alan Greenspan, asset allocation, Average Returns, behavioral finance, bubbles, correlation, correlation coefficient, Dot Com Bubble, finance, finance theory, financial goals, financial markets, Financial Media, Financial News, financial planning, Greenspan, historical returns, Individual Investing, individual investors, Internet Bubble, investing, investing advice, investing information, investing tips, investment advice, investments, Irrational Exuberance, market timing, math, personal finance, portfolio, risk tolerance, risks of stocks, S&P 500, S&P 500 historical returns, S&P 500 Index, statistics, stock market, Stock Market Returns, Stock Market Valuation, stock prices, stocks, Valuation, volatility

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This article is the third and final post in my three-part series on learning how to be a successful long-term investor.  The general theme underlying all of the topics has been developing enough of an understanding of the stock market gyrations and sometimes wild ride to form reasonable expectations at the outset.  Those expectations lead directly into to developing a long-term investment strategy and plan that you are much more likely to stick with through “thick and thin” because you know what is coming.  Of course, you will not know the order in which the ups and downs may come, but you will have a ton of information helpful to be much less likely to lose your nerve or get overly excited.

The last topic will be about “market timing”.  We will delve deeply into the concept and see how very difficult it has been in the past, and, I believe, will continue to be for the foreseeable future.  Now the discussion to follow will be entirely self-contained; however, it might be helpful to take a look at the first two articles to have additional context.  The opening topic was an overview of the history of stock market returns using the S&P 500 Index (dividends reinvested).  Here is a link to that post:

https://latticeworkwealth.com/2019/09/23/successful-long-term-investing/

The second topic was a discussion about the concept of risk.  We explored how it is normally defined, ways that you can gauge your tolerance for risk given the information from the first post, and explored some methods/mindsets to reduce risk in your investment portfolio.  Here is a link to that post:

https://latticeworkwealth.com/2019/09/25/successful-long-term-investor-risk/

So now, we will turn to the topic for the last article.  As mentioned above, we are going to take a look at “market timing”.  In general, the idea of “market timing” is to develop ways to be able to buy stocks when they are very undervalued and also sell stocks right near the market peak to avoid a big downturn.  There are certain variations where an investor is not necessarily trying to time the most opportune time but trade along with the momentum of the stock market and anticipating the next movement prior to other stock market participants.

“Market timing” is notoriously difficult to do.  But you will see considerable time devoted every day to financial market television and periodicals advising individual investors what trades to make.  I would submit that following things and pundits on a daily basis adds to “noise” and “information overload”.  Additionally, for every guest that predicts a big leg up in the market, there will be another guest later in the day who tells you that we are in a bubble and stocks will drop dramatically soon.

Another lesser talked about item is the main guests that are invited to speak on television or are quoted in financial periodicals.  Typically, the guest introduction will be prefaced by this man/woman predicted the last major move in the stock market and we are so lucky to have him/her back again.  While these guests are great to hear from, there is a severe amount of “selection bias”.  What do I mean by “selection bias”?  You will rarely see a guest brought on to be lambasted for a prediction that never came to fruition or was just flat out wrong.  The vast majority of guests on television or market experts in financial articles will be the ones who made a very prescient call on the direction of the stock market.

The promise of “market timing” is still so enticing.  It normally relates to the fear of losing money or the greed of just not wanting to miss the next big bull market trend upward in the stock market.  However, the ability to call the market tops or bottoms has proven to be pretty much a 50/50 flip of the coin (now I am being generous at that).  One of the examples that I love to give is the coining of the term “irrational exuberance”.  The former chair of the Federal Reserve, Alan Greenspan, used that new term to state that the stock market was in what he thought was a bubble.  Little do people remember, but he first gave the speech in December 1996 to refer to what would become the Dot.Com bubble and bust.  Greenspan was proven right but the top of that bubble occurred in March 2000.  I use that example because irrational activity in the markets can persist for much, much longer than you might expect.

So, now I know that some people reading this post will be able to point to experts who made the great calls or even their own calls on the direction of the stock market.  Well, I will start off the discussion by showing that “market timing” is indeed somewhat possible.  But it takes much longer periods of time than you might think at first.  Here is how we will proceed in the analysis.  I discussed how the long-term historical average of the S&P 500 Index from 1957-2018 has been 9.8%.  It would seem logical then that, if stock market returns were below that average or above that average for a certain length of time, you could just do the opposite figuring that stock market returns would eventually trend back to that average (in the jargon reversion to the mean).

The problem is, as I briefly mentioned in the last paragraph, that the time period needs to be so long that it is almost untenable for individual investors to practically implement.  In fact, we have to use 15-year annualized returns to illustrate the theory.  So, if the stock market has been below/above trend, we will buy/sell because an inflection point has to come.  Let’s take a look at it graphically to drive the point home:

Fifteen Year Correlation

In the graph depicted above, we have exactly the returns we would like to see.  The blue dots are the past 15 years of stock market returns, and the orange dots are the next 15 years of stock market returns.  The dots are what we would term to have an inverse relationship.  In fact, for all of you somewhat familiar with statistics, the correlation coefficient is -0.857.  Therefore, there is a really strong relationship here that leads us to the promise of “market timing”.  Should we give up on it so early?

The problem with “market timing” is that, for any length of time less than 15 years of annualized stock returns, there really is no relationship (at least no actionable trading of stocks for your investment portfolio).  Let’s take a look at the same concept in the first graph with a look at one-year and three-year current and then future returns:

One Year Correlation

Three Year Correlation

Using the one-year and three-year current and then future stock market returns of the S&P 500 Index, our dots just kind of do not follow a discernable pattern.  Again, for the statistically inclined folks out there, the correlation coefficients are -0.10 and -0.041, respectively.  As always, we won’t get too waded down into the mathematical weeds but a correlation coefficient close to 0 means that there is essentially no correlation/relationship between the two.  To make an analogy, you can think of what is the correlation between birds in your backyard and the number of jars of pickles for sale at your local grocery store?  Well, there should be no relationship whatsoever.  Even if there were, it would not make any sense.  In our case here, there is at least some logic underlying our premise of the most recent return on the S&P 500 Index and the future returns over that same time period.  As we see though, there is really nothing actionable to embark upon for individual investors to properly engage in “market timing”.

Before we totally give up on “market timing”, we can take a look at the same charts but extending the time periods to five years and ten years.  Let’s take a look at those two graphs:

Five Year Correlation

Ten Year Correlation

The correlation coefficient for the five-year chart is 0.028, so we cannot really use that long of a time period either.  I will admit that the ten-year chart looks a little more promising.  We have a graph that looks somewhat more like the fifteen-year graph that I started off with.  In fact, the correlation coefficient is -0.276.  And a negative number is what we want to see in order to try “market timing”.  Unfortunately, the number is really not strong enough to not get caught.  By this I mean, we can see that “market timing” would have worked from 1975-1985 and also from 1990-2001 roughly.  However, 1965-1975 has a grouping of returns that don’t work and 2002-2008 has mixed results as well.  Note that there are less data points because there needs to be at least 10 years of future returns in order to compare the current record of 10-year annualized returns with what the next 10 years of stock returns will end up being.

Overall, we have seen that “market timing” in the short term (even as defined out to five years) does not really have much, if any, predictive power.  Therefore, if you make decisions related to “market timing” based upon how the stock market has performed in any time period five years or less, it is clearly a “fool’s errand” or incredibly difficult to do.  And by the latter, I mean that you can reliably do so over more than one major change in market direction.  The majority of market pundits that you will see or read about have made one correct call which is not nearly enough to judge his/her investing acumen related to “market timing”.

I will close out the discussion of “market timing” by using the Financial Crisis and ensuing Great Recession.  Many folks correctly called (or were proven right without the reason for the bubble matching their investment thesis) this major stock market inflection point.  They correctly saw the unsustainable bubble in housing, the rise of financial stocks, and the buildup of toxic securities like subprime loans.  However, many of those same individuals never changed their investment thesis and failed to tell individual investors to return to the stock market and buy.  Essentially there are still folks that will tell you we are in a bubble.  Now I am not bold and/or grandiose enough to weigh in on the current value of the stock market.  But you need to know that most of the people who call a wicked crash in stocks or a massive bull market do not change their investment thesis prior to the next big turn.

For example, let’s say that you learned about stock investing 10 years or so ago and decided to invest $1,000.00 in the S&P 500 Index toward the end of October 2007.  And yes, this was the absolute worst time to invest in stocks.  Sadly, by March 2009, you would have lost 50% of your investment and have only $500.00 at that point in time.  You might feel great if you listened to someone who called the top and told you that the fourth quarter of 2007 was the absolute worse time to buy stocks.  But I am willing to bet that this same person would not have told you when it was “safe” to invest again.  If you knew to expect bouts of extreme volatility in the stock market beforehand, you could have kept your money in the stock market.  At the end of December 2018, you would have had $1,712.36 using our 13.1% 10-year annualized return over that time.  If the original market predictor of catastrophe told you to just keep your $1,000.00 in the bank you would have $1,160.54 (assuming generously that you could earn 1.50% over the ten years in your bank saving account).  Adjusting the hypothetical investor who simply kept his/her money in stocks back to inflation, he/she would have $1,404.73 (assuming 2.0% inflation over the last 10 years which is higher than was actually experienced).  At the end of December 2018, you would have a bit more than 21% higher in inflation-adjusted dollars than the person who just never invested (or took his/her money out of stocks right at the end of October 2007 but never returned to stocks).

Now I will admit that my hypothetical scenario would have tried the “intestinal fortitude” of the most seasoned professional investors after seeing a 50% market drop over 1.5 years.  My only point with the example is that, even if you could not have held your nerve to remain invested in stocks over the Financial Crisis, the investment pundit(s) who tells you the exact top with a brilliant prediction also needs to tell you when to invest or sell again in the future (i.e. “market timing”).  Rarely will you see such a prognosticator that can totally change their investment thesis to get the next call right.  You are much better off abstaining from “market timing” and sticking to your long-term investment strategy.  Of course, that may indeed call for selling or buying a portion of stocks at certain given points to change your investment portfolio allocation to match your risk tolerance and financial goals.  But trying to utilize “market timing” to be in and out to experience hardly any losses and capture all the gains is just not realistic, so you might as well discard the entire investment strategy of “market timing”.

How to Become a Successful Long-Term Investor – Part 2 of 3 – Understanding and Reducing Risk

25 Wednesday Sep 2019

Posted by wmosconi in asset allocation, behavioral finance, Consumer Finance, Education, finance, finance theory, financial advice, Financial Advisor, financial goals, financial markets, Financial Media, Financial News, financial planning, financial services industry, Geometric Returns, historical returns, Individual Investing, individual investors, investing, investing advice, investing tips, investment advice, investments, math, Modern Portfolio Theory, MPT, personal finance, portfolio, risk, risk tolerance, risks of stocks, S&P 500, S&P 500 historical returns, S&P 500 Index, standard deviation, statistics, stock market, Stock Market Returns, Stock Market Valuation, stock prices, stocks, volatility

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Another extremely important part of being a long-term investor is to understand the concept of risk.  Financial professionals define risk in a number of different ways, and we will examine some of those definitions.  The overarching goal is to look at risk from the standpoint of the volatility or dispersion of stock market returns.  Diversification of various investments in your portfolio is normally the way that most financial professionals discuss ways to manage the inevitable fluctuations in one’s investment portfolio.  However, there is another more intuitive way to reduce risk which will be the topic of this second part of this examination into becoming a successful long-term investor.

The first part of this series on long-term investing was a look back at the historical returns of the S&P 500 Index (including the reinvestment of dividends).  The S&P 500 Index will again be the proxy used to view the concept of risk.  If you have not had a chance to read the first part of the series, I would urge you to follow the link provided below.  Note that it is not a prerequisite to follow along with the discussion to come, but it would be helpful to better understand the exploration of risk in this article.

The link to part one of becoming a successful long-term investor is:

https://latticeworkwealth.com/2019/09/23/successful-long-term-investing/

But now we will turn our attention to risk.  Risk can be a kind of difficult or opaque concept that is discussed by financial professionals.  Most individual investors have a tough time following along.  Sometimes there is a lot of math and statistics included with the overview.  Although this information is helpful, we need to build up to that aspect.  However, there will be no detailed calculations utilized in this article that might muddy the waters further.  I believe it helps to take a graphical approach and then build up to what some individual investors consider the harder aspects of grasping risk.

Risk related to investing in stocks can be defined differently, but the general idea is that stocks do not go up or down in a straight line.  As discussed in depth in part one, the annual return of the S&P 500 Index jumps around by a large margin.  Most individual investors are surprised at seeing the wide variation.  Ultimately, the long-term historical average of the S&P 500 Index from 1957 to 2018 is 9.8%.  But rarely does the average annual return end up being anywhere near that number.

The first way I would like to look at risk within the context of long-term investing is to go back to our use of “buckets” of returns.  If you have not already read part one, I used “buckets” with ranges of 5% to see where stock returns fit in.  As it relates to risk, we are only going to look at the “bucket” that includes the historical average 7% to 12% and then either side of that “bucket” (2% to 7% and 12% to 17%).  Additionally, we will look at yearly stock returns and then annualized stock returns for three years, five years, and ten years.  Here is our first graph:

Returns on Either Side of Historical Average

The main takeaway from viewing this graph is that, as the length of time increases, more stock market returns for the S&P 500 Index group around the historical average for the index of 9.8%.  Remember that part one covered the useful information that, even though the historical average to be expected from investing in stocks is 9.8%, individual investors need to know that it can take long periods of time to see that historical average.  In fact, if we look only at one-year increments, approximately 33.9% of stock returns will fall into the range of 2% to 17%.    Or, if we use our yearly equivalent, stock market returns will only fall within that range 1 out of every 3 years.  When individual investors see this graph for the first time, they are usually shocked and somewhat nervous about investing in stocks.

The important thing to keep in mind is that as the length of time examined increased many more stock returns fall into this range.  The numbers are 65.0%, 67.1%, and 81.1%, for three years, five years, and ten years, respectively.  Converting those numbers to yearly equivalents we have about 6-7 years out of ten for three years and five years.  And, as one would intuitively suspect, the longest timeframe of ten years will have stock returns falling into the 2% to 17% range roughly 8 in every 10 years.  Now that still means that 20% to 35% of long-term returns fall outside of that range when considering all those time periods.  But I believe that it is certainly much more palatable for individual investors than looking at investing through the lens of only one-year increments.

Another aspect of risk is what would be termed downside protection.  Most individual investors are considered to be risk averse.  This term is just a fancy way of saying that the vast majority of investors need a lot more expected positive returns to compensate them for the prospect of losing large sums of money.  Essentially an easier way to look at this term is that most individual investors have asymmetric risk tolerances.  All that this means in general is that a 10% loss is much more painful than the pleasure of a 10% gain in the minds of most investors.  Think about yourself in these terms.  What would you consider the offset to be equal when it comes to losing and earning money in the stock market?  Would you need the prospect of a 15% positive return (or 20%, 25% and so forth) to offset the possibility of losing 10% of your money in any one year?  Let’s look at the breakdown of the number of years that investors will experience a loss.  To be consistent with my first post, I am going to use the “bucket” of -3% to 2% and work down from there.  Here is the graph:

Returns Less than 2%

There are 61 years of stock market returns from the S&P 500 Index for the period 1957 to 2018.  If we look at the category of 1 year, stock market returns were 2% or less 38.7% of the time (17 years out of 61 years).  However, if we move to five-year and ten-year annualized returns, there were no observations in the -3% to -8%, -8% to -13%, or less than -13% “buckets”.  When looking at losing money by investing in the stock market, a long-term focus and investment strategy will balance out very negative return years and your portfolio is less likely to be worth significantly less after five or ten years.  Of course, there are no guarantees and perfect foresight is something that we do not have.  However, I believe that looking carefully at the historical data shows why it is important to not be so discouraged by years when the stock market goes down and even stays down for longer than just one year.  Hopefully these figures do provide you with more fortitude to resist the instinct to sell stocks when the stock market takes a deep decline if your investment horizon and financial goals are many, many years out into the future.

The final concept I would like to cover is standard deviation.  The term standard deviation comes up more often than not either in discussions with financial professionals during client meetings or is used a lot in the financial media.  There are many times when even the professionals use the term and explain things incorrectly, but we will save that conversation for another post.  Standard deviation is a statistical term that really is a measure of how far away stock market returns are from the mean (i.e. the average).  It is a concept related to volatility or dispersion.  So, the higher the number is, the more likely it is that stock market returns will have a wide range of returns in any given year.  Let’s first take a look at a graph to put things into context.  Here it is:

Standard Deviation

The chart is striking in terms of how much the standard deviation decreases as the time period increases.  A couple things to note.  First, I do not want to confuse you with a great deal of math or statistical jargon and calculations.  My point is not to obscure the main idea.  Second, the 25-year and 50-year numbers are just included only to cover the entire period of 1957 to 2018 for the S&P 500 Index.  These periods of time are not of much use to individual investors to consider their tolerance for risk and the right investments to include in their portfolios.  And, as one of the most famous economists of the 20th century, John Maynard Keynes, quipped:  “In the long run, we are all dead”.  My only point is that discussion of how the stock market has performed over 25 years or longer is just not relevant to how most individuals think.  It is nice to know but not very useful from a practical perspective.

The main item of interest from the graph above of standard deviation is that you can “lower” the risk of your portfolio just by lengthening your time horizon to make investment decisions on buying or selling stock.  For example, the standard deviation goes down 46.9% (to 8.95% from 16.87%) between one-year returns and three-year annualized returns.  Why do I use “lower”?  Well, the risk of your portfolio will stay constant over time and focusing on longer periods of time will not decrease the volatility per se.  However, most financial professionals tell their clients to not worry about day-to-day fluctuations in the stock market.  Plus, most Financial Advisors tell their clients to not get too upset when reviewing quarterly brokerage statements.  This advice is very good indeed.  However, I urge you to lengthen the period of your concern about volatility in further out into time.  My general guideline to the individuals that I assist in building financial portfolios, setting a unique risk tolerance, and planning for financial goals is to view even one year as short term akin to examining your quarterly brokerage statement.

Why?  If you are in what is termed the “wealth accumulation” stage of life (e.g. saving for retirement), what occurs on a yearly basis is of no concern in the grand scheme of things.  The better investment strategy is to consider three years as short term, five years as medium term, and ten years as the long term.  I think that even retirees can benefit with this type of shift.  Now please do not get me wrong.  I am not advising that anyone make absolutely no changes to his/her investment portfolio for one-year increments.  Rather, annual returns in the stock market vary so widely that it can lead you astray from building a long-term investing strategy that you can stick to when stock market returns inevitably decline (sometimes precipitously and by a large margin).  Note that all the academic theories, especially Modern Portfolio Theory (MPT), were built using an assumption of a one-year holding period for stocks (also bonds, cash, and other investments).  Most individual investors do not fall into the one-year holding period.  Therefore, it does not make much sense to overly focus on such a short time period.

Of course, the next thought and/or comment that comes up is “what if the stock market is too high and I should sell to avoid the downturn?”.  I will not deny that this instinct is very real and will never go away for individual investors.  In fact, a good deal of financial media television coverage and news publications are devoted to advising people on this very topic every single day.   It is termed “market timing”.  In the third and last article in this series on becoming a successful long-term investor, I am going to examine “market timing” with the same stock market data from the S&P 500 Index.  You will clearly see why trying to time the market and buy/sell or sell/buy at the right time is extremely difficult to do (despite what the financial pundits might have you believe given the daily commentary).

The First Key to Successful Stock Investing is Understanding and Accepting Reality – Updated

16 Wednesday Mar 2016

Posted by wmosconi in asset allocation, Average Returns, bonds, business, college finance, Consumer Finance, Education, Emotional Intelligence, finance, finance theory, financial advice, financial goals, financial markets, financial planning, financial services industry, Geometric Returns, Individual Investing, individual investors, investing, investing advice, investing information, investing tips, investment advice, investments, math, personal finance, portfolio, risk, risk tolerance, statistics, stock market, Stock Market Returns, stock prices, stocks, Uncategorized, volatility

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This particular topic is so important that I decided to revisit it again. The discussion below adds further refinements and creates an even stronger tie to behavioral finance (i.e. how emotions affect investment decisions).  Additionally, for those of you who desire more in-depth coverage of the math and statistics presented, I have included that at the very end of this article.  Let’s delve deeper into this topic and what is meant by “reality”.

The first key to successful stock investing has more to do with your emotions than a fundamental understanding of what causes stocks to move up or down. Emotions about money can be a powerful thing and cause people to behave in irrational ways.  One of the most common phrases passed on to investors as a piece of wisdom is to “buy low and sell high”.  However, study after study has shown that most individual investors fail to heed that advice.  Why does this happen?  Well, I would submit the real cause is behavioral and based upon incomplete information.

Most individual investors are told when they start investing in stocks via mutual funds and/or ETFs to expect an annual return of 8% to 9% per year. You will find that many financial calculators to help you plan for retirement on the Internet have that as one of the inputs to calculate the growth of your portfolio over time.  While that information is not too far off the mark based upon historical returns of the S&P 500 stock index, the actual annual returns of stocks do not cooperate to the constant frustration and consternation of so many investors.

That brings us to the first key to successful stock investing:  The actual yearly returns of stocks very rarely equal the average expected.  The most common term for this phenomenon is referred to as volatility.  Stocks tend to bounce around quite a bit from year to year.  Volatility combines with the natural instinct of people to extrapolate from the recent past, and investing becomes a very difficult task.  I will get deeper into the numbers at the very end of the post for those readers who like to more fully understand the concepts I discuss.  I do need talk in general about annual stock returns at this point to expand upon the first key.

Below I have provided a chart of the annual returns of the S&P 500 index for every year in the 21st century:

 

Year % Return
2001 -11.90%
2002 -22.10%
2003 28.70%
2004 10.90%
2005 4.90%
2006 15.80%
2007 5.50%
2008 -37.00%
2009 26.50%
2010 15.10%
2011 2.10%
2012 16.00%
2013 32.40%
2014 13.70%
2015 1.40%

 

What is the first thing you notice when looking at the yearly returns in the table? First, you might notice that they really jump around a lot.  More importantly, none of the years has a return that is between 8% and 9%.  The closest year is 2004 with a return of 10.9%.  If the only piece of information you have is to expect the historical average over time, the lack of consistency can be extraordinarily frustrating and scary.  In fact, individual investors (and sometimes professional investors too) commonly look back at the last couple of years and expect those actual returns to continue into the future.  Therein lies the problem.  Investors tend to be gleeful when returns have been really good and very fearful when returns have been very low.  Since the average never comes around very often, investors will forget what returns to expect over the long run and will “buy high and sell low”.  It is common to sell stocks after a prolonged downturn and wait until it is “safe” to buy stocks again which is how the sound advice gets turned around.

I will not get too heavy into math and statistics, but I wanted to provide you will some useful information to at least be prepared when you venture out to invest by yourself or by using a financial professional. I looked back at all the returns of the S&P 500 index since 1928 (note the index had lesser numbers of stocks in the past until 1957).  The actual annual return of the index was between 7% and 11% only 5 out of the 88 years or 5.7%.  That statistic means that your annual return in stocks will be around the average once every 17 years.  The 50-year average annual return for the S&P 500 index (1966-2015) was approximately 9.8%.  Actual returns were negative 24 out of 88 years (27.9% of the time) and greater than 15% 42 out of 88 years (48.8% of the time).  How does relate to the first key of stock investing that I mentioned earlier (“The actual yearly returns of stocks very rarely equal the average expected”)?

Well, it should be much easier to see at this point. If you are investing in stocks to achieve the average return quoted in so many sources of 8% to 9%, it is definitely a long-term proposition and can be a bumpy ride.  The average return works out in the end, but you need to have a solid plan, either by yourself or with the guidance financial professional, to ensure that you stick to the long-term financial plan to reach the financial goals that you have set.  Knowing beforehand should greatly assist you in controlling your emotions.  I recommend trying to anticipate what you do when the actual return you achieve by investing in stocks is well below or quite high above the average in your portfolio.  Having this information provides a much better way to truly understand and your risk tolerance when it comes to deciding what percentage of your monies to allocate to stocks in my opinion.

When you look back at the performance returns for stocks, it makes more sense why investors do what they do from the standpoint of behavioral finance. That is how emotions affect (all too often negatively) investment decisions.  If an individual investor is told at the outset that he or she can expect returns of 8% or 9% per year, the actual annual returns of stocks can be quite troubling.  Having that information only leads to a general disadvantage.  When stock returns are negative and nowhere near the average, individual investors tend to panic and sell stocks.  When stock returns are quite higher than the average, individual investors tend to be more euphoric and buy even more stocks.  This affect is magnified when there are a number of consecutive years with one of those two trends.  If stock returns are essentially unchanged, most individual investors become disengaged and really do not even see the point of investing in stocks at all.

I believe it is extremely important to know upfront that stocks are likely to hit the average return once every 17 years. That statistic alone is a real shocker!  It lets individual investors truly see how “unusual” the average return really is.  Plus, there is a better explanation for fear and greed.  Stock market returns will be negative once every 4 years.  Keep in mind this does not even include stock returns that are below the average yet still positive.  Lastly, every other year the stock market returns will be above the average (in my case I was measuring above the average with the definition of that being a stock market return greater than 11%).  It is no wonder why individual investors get greedy when it looks like investing in the stock market is so easy after seeing such great returns.  Conversely, the occurrence of negative returns is so regular that it is only natural for individual investors to panic.  Since the average only comes around approximately once every two decades, that is why confusion abounds and investors abandon their long-term financial plans.

I will readily admit sticking to a long-term financial plan is not easy to do in practice during powerful bull or bear markets, but I think it helps to know upfront what actual stock returns look like and prepare yourself emotionally in additional to the intellectual side of investing.  Now I always mention that statistics can be misleading, conveniently picked to make a point, or not indicative of the future.  Nevertheless, I have tried to present the information fairly and in general terms.

Additional Information on Stock Market Returns (Discussion of Math and Statistics):

Please note that this information may be skipped by individual investors that are scared off by math in general or have no desire to dive deeper into the minutiae. One of the first things to be aware of is what expected returns for stocks are.  An expected return is what the most likely outcome would be in any particular year.  Expected returns provide misleading results when there is a high degree of variability in the entire dataset.  In the case of stock market returns, there is an incredible amount of variability.  The industry term for variability, which is the statistical term, is volatility.  Due to the fact that the expected return almost never happens, it would be wise for the financial services industry to truly and better define volatility.  Most individual investors do not know that there is far more of a range of possible outcomes for stock market returns.  Individual investors associate hearing average returns with some volatility from Financial Advisors or financial media in the same way as the classic “bell curve”.  As discussed in further detail above, the outcomes do not even come close to approximating the “bell curve”.

One important thing to be aware of when it comes to actual performance returns of an individual’s investment portfolio is that average/expected values are not very important. In fact, they really lead to a distorted way of looking at investing.  Average/expected values are based on arithmetic returns, where the overall growth in one’s investment portfolio is tied to geometric returns.  The concept of geometric returns is overlooked or not fully explained to individual investors.  Here is the perfect example of how it comes into play.  Let’s say you own one share of a $100 stock.  It goes down 50% in the first year and then up 50% in the second year.  How much money do you have at the end of the second year?  You have the original $100, right?

Not even close. You end up with $75.  Why?  At the end of the first year, your stock is worth $50 ($100 + $100*-50%) after decreasing 50%.  Since you begin the second year with only that $50, that is why you end up having $75 ($50 + $50 * 50%).  The average annual return is 0% ((-50% + 50%) divided by 2)) for the two-year period.  Whereas your geometric return is negative 13.4%.  Essentially that number shows what happened to the value of your portfolio over the entire timeframe and incorporates the ending value.  Think of it as having $100 + $100 * -13.4% or $86.60 at the end of year one and then $86.60 + $86.60 * -13.4%) or $75.  Note that you never actually have $86.60 as the portfolio’s value at any time, but the geometric return tells you how much money you actually earned (or lost) over the entire period and how much money you end up with, otherwise known as the terminal value of your portfolio.  The geometric return will ALWAYS differ from the arithmetic return when a negative return is introduced as one of the outcomes.  As an individual investor, your primary concern is the terminal value of your portfolio.  That is the dollar value you see on your brokerage statement and is the actual amount of money you have.

Financial professionals forget to focus on geometric returns or even bring them up to clients. This omission is important to individual investors because negative returns have an outsized effect on the terminal value of an investment portfolio.  For example, in the example above, it is quite clear that losing 50% and then gaining 50% do not “cancel each other out”.  The negative percent weighs down the final value of the portfolio.  That is why it is extremely important to use the geometric return of the portfolio.  This result is due to the fact that the compounding of interest is not linear.  It is a geometric equation which is why the geometric mean comes into play.  Without going fully into the explanation of those equations, the main takeaway for investors when it comes to annual returns is that negative returns have more of an effect than positive returns.

Taken together, it is important to utilize the concept of multi-year geometric averages. Individual investors never want to simply add up the annual returns of a series of years and then divided by the number of years.  That result will overstate the amount of money in the investment portfolio at the end of the period.  The preferred approach is to use the geometric average which is referred to as the annualized average return.  That percentage is the number most relevant to investors.  Additionally, longer timeframes of these returns are best to look at given the extreme amount of volatility in yearly stock market returns.  It gives a better picture of how the stock market has moved.

When looking at the stock market returns for the S&P 500 index over five-year periods using the period 2001-2015, they yield surprising yet informative results. The five-year returns from 2001-2005, 2006-2010, and 2011-2015 were 0.54%, 2.30%, and 12.57%, respectively.  Valuable information comes from looking at extended periods of time using the same time increment.  The overall return during 2001-2015 was 5.01%.  The effect of these longer timeframes smooths the stock market return data, but even then the stock market returns vary quite a bit.  Note that the overall return from the entire historical period of the S&P 500 index is roughly 9.50%.  These three selected chunks show two periods of underperformance and one year of outperformance.  The reason stock market returns tend to hover around the historical average is due to the fact that these returns are tied to the overall growth the economy (most commonly Gross Domestic Product – GDP) and corporate profits.  In the meantime though, stock market returns can vary a lot from this expected return.  However, they are unlikely to do so for incredibly long periods of time.

By incorporating the understanding of volatility and geometric returns into your understanding of the “reality” of stock market returns, you will be able to better refine your own risk tolerance and how to craft your long-term financial plan. A better grasp of these concepts makes one far less likely to react emotionally to the market, either with too much fear or too much greed.

A New Paradigm for Investing on 50 year-old Investment Advice Available on Amazon.com

03 Tuesday Dec 2013

Posted by wmosconi in alpha, asset allocation, Bernanke, beta, bonds, business, Consumer Finance, Education, Fama, Fed, Fed Taper, Fed Tapering, Federal Reserve, finance, financial advisor fees, financial planning, Individual Investing, investing, investing, investments, stocks, bonds, asset allocation, portfolio, investment advisory fees, investments, Markowitz, math, Modern Portfolio Theory, MPT, Nobel Prize, Nobel Prize in Economics, portfolio, rising interest rate environment, rising interest rates, risk, Schiller, Sharpe, sigma, statistics, stock prices, stocks, volatility, Yellen

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alpha, asset allocation, Bernanke, beta, bonds, business, consumer finance, economics, education, Fama, Fed, Fed taper, Fed Tapering, Federal Reserve, finance, investing, investments, math, Modern Portfolio Theory, MPT, Nobel Prize, Nobel Prize in Economics, personal finance, portfolio, portfolio management, Schiller, Shiller, statistics, stocks, volatility, Yellen

I am happy to announce that I have published another book on Amazon.com.  I have decided to make it FREE for the rest of the week through Saturday, December 7th (it normally retails for $4.99).  The book is another installment in my A New Paradigm for Investing series.  In this particular book, I focus on the use of Modern Portfolio Theory (MPT) as the primary tool by Financial Advisors to recommend portfolio allocations.  The theory is over 50 years old, and most of its assumptions have been shown to be less and less useful.  I explore the reasons why in my text.  I have tried to write in such a manner that you do not need a degree in mathematics or statistics to understand its contents.  Futhermore, you do not need to know about the intricacies of MPT in order to follow my logic.  You would find the same information in a college textbook but in a condensed format.

Note that this book is available for download onto a Kindle.  Additionally, there is a Kindle app for iPhones and Android devices which is free to download.  Amazon.com prime members can borrow the book for FREE. I have provided a link below to make it easier.   My email address is latticeworkwealth@gmail.com should you have any questions/comments/feedback.

The book is:

1)      A New Paradigm for Investing:  Is Your Financial Advisor Creating Your Portfolio with a 50 Year-Old Theory?:

http://www.amazon.com/New-Paradigm-Investing-Financial-ebook/dp/B00FQQ0CKG/ref=sr_1_1?s=books&ie=UTF8&qid=1381520643&sr=1-1&keywords=a+New+paradigm+for+investing+by+William+Nelson

I would like to thank my international viewers as well.  I also wanted to especially thank some selected followers of my @NelsonThought and @LatticeworkWlth Twitter accounts (each of whom I would recommend following for the content and insight):

Followers on @NelsonThought:

The Wealth Report @wsjexperts – Wall Street Journal #wsjexperts

The Royce Funds @RoyceFunds

Research Magazine @Research_Mag

Barron’s Online @BarronsOnline

Vanguard FA @Vanguard_FA

Cleveland Fed Research @ClevFedResearch

Pedro da Costa @pdacosta

Muriel Siebert & Co. @SiebertCo

Roger Wohlner, CFP® @rwohlner

Ed Moldaver @emoldaver

Sylvia Maxfield @sylviamaxfield

The Shut Up Show @theshutupshow

Berni Xiong (shUNG) @BerniXiong

Followers on @LatticeworkWlth:

Euro-banks @EuroBanks

Direxion Alts @DirexionAlts

Charlie Wells @charliewwells

AbsoluteVerification @GIPStips

Investment Advisor @InvestAdvMag

Gary Oneil @GaryONeil2

MJ Gottlieb @MJGottlieb

Bob Burg @BobBurg

Melody Campbell @SmBizGuru

TheMichaelBrown @TheMichaelBrown

Phil Gerbyshak @PhilGerbyshak

MuniCredit @MuniCredit

D.J. Rob-Ski @DJRobSki

When It Comes to Your Investments, Are You Smarter than a 14 year-old?

12 Saturday Oct 2013

Posted by wmosconi in asset allocation, Bernanke, bonds, business, Charlie Munger, Consumer Finance, Education, Fed, Fed Taper, Fed Tapering, Federal Reserve, finance, financial planning, GIPS, GIPS2013, Individual Investing, interest rates, investing, investing, investments, stocks, bonds, asset allocation, portfolio, investments, math, Modern Portfolio Theory, MPT, NASDAQ, personal finance, portfolio, risk, statistics, stock prices, stocks, volatility, Warren Buffett, Yellen

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That is a great question.  I will save you the suspense and give you the answer.  You are as smart as a 14 year-old when it comes to your knowledge of your investments.  What 14 year-old teenager am I referring to?  I am referring to myself.  I started investing when I was 13 back in November 1987.  (If you do the math, you can figure out how old I am).  After spending a year studying the financial markets, I had amassed quite a bit of understanding.  How does this relate to you?  Well, if you have been following my blog, I have not revealed any information that I did not already know by then.  Now my writing style has improved and I have incorporated innovations introduced after 1988, the topics I have written about are not that complicated.  Before you continue reading, I would like to state at the outset that I was not some sort of child prodigy when it came to finance.  I was good at math and retained what I learned.  I am no genius and have no delusions of grandeur.  As I sometimes tell my friends, “If I really knew what I was talking about, I would be running a $10 billion hedge fund”.

With that being said, you also have the good fortune of learning from approximately 25 years of mistakes in investing and misunderstanding about the financial markets and the impacts of exogenous and endogenous events.  I could go on and on about my mistakes; however, I will mention a few here.  First, I had the opportunity to invest in two shares of Berskshire Hathaway Class A (BRK.A) stock back in 1991 when it traded a little above $8,700 per share.  Of course, Berkshire Hathaway is the company run by the famous investor Warren Buffett.  As of August 5, 2013, BRK.A’s closing stock price was $177,300 or a bit over $350,000 if I would have purchased those two shares back in 1991.  Why did I miss out on this opportunity?  I did learn everything I could about Warren Buffett once my economics teacher talked about him and his investing paradigm.  It really made sense to me from the start.  Unfortunately, I pass up on purchasing the shares because I would only be able to own those two shares and one other mutual fund.  As a young man, I was hyped and yearning to pick a number of different investment choices.  Best Buy is one of the best performing stocks in the financial markets and trades over $30 now.  I purchased Best Buy about 7 years ago and paid $42.  I did sell quite some time ago, but I took a huge capital loss.     Second, I wrote a paper during my MBA program that talked about the risk management procedures of Citigroup.  As I look back on that paper written in 2005, it is curious to note that, besides AIG, Citigroup went through the pain of learning the limits of risk management and it had a bailout of epic proportions.  I guess my paper was not the best in retrospect.  Finally, I had a terrible habit of picking the current “hot hand”.  I tended to switch my mutual fund holding way too often when I was in my teens.  It was really attractive to calculate how much money I could earn in a mutual fund that made 20% per year.  Wow, I could double my money in less than four years!  As you always see now, past performance is not indicative of future returns.  I really ignored that statement and invested many times based upon hopes and extrapolation instead of rational thought.  My emotions got the best of me.

I did have quite a few wins along the way.  For example, I was invested in the famous Fidelity Magellan mutual fund when it was run by Peter Lynch.  Peter Lynch is a legend among mutual fund managers.  At one point in time, Fidelity Magellan had more assets than any other mutual fund in the country.  Oddly enough, that was its eventual downfall.  Another example would be that I was able to learn how to successfully manage my father’s 401(k) portfolio from 1988 to the present.  I have seen many bull and bear markets and never had his eventual retirement portfolio take a significant hit in terms of poor returns.  My experience investing over the last 25 years has shown me that there will be many times when the financial pundits say this time is different, new industries are going to blow away the Old Economy, or that news events should cause investors to reallocate investment portfolios dramatically.  Even though I have been investing for 25 years, there have been very few seminal financial market events, the global economy may be different but the laws of finance and economics still hold (or they eventually bring prices back to earth), and new industries tend to bring more innovation and tools for existing, mature industries.  An illustration would be the early Internet companies lost money and burned through enormous amounts of cash.  However, the technologies they introduced allowed existing businesses to use the Internet in unique ways to either generate additional revenue or improve productivity.  A direct example would be how airplanes revolutionized leisure and business travel, but the airlines have been a wealth-destroying industry.  On the other hand, there are a myriad of business that used the services of airlines.

My overall point is that if you take one hour per week for about four months, you will be able to get through the five books I recommended on investing.  Additionally, you can spend another 30 minutes looking at a few financial websites just to increase your knowledge of investment products, finance terms, and keep abreast of news in general.  As a reminder, the list of five books can be found here:  https://latticeworkwealth.com/2013/07/23/spend-20-hours-learning-about-investments-to-prepare-20-years-of-retirement-2/ .  As another reminder, some recommended financial websites can be found here:  https://latticeworkwealth.com/2013/08/04/todays-news-should-prompt-you-to-adjust-your-entire-investment-portfolio/ .

My entire goal with this blog is to save you lots of time.  Rather than being bombarded by disparate information regarding the financial markets and how to approach investing, I am trying to give you a shortcut.  I am hopeful that, if you have a roadmap that is clear, you will be more motivated to learn about investments and eventually become more comfortable with the process of building an investment portfolio to meet your financial goals, while ensuring that your emotions do not get the best of you.  At the end of the day, many individual investors pay fees to financial professionals to save themselves from enemy #1.  Who?  I mean that sometimes individual investors act rashly and keep buying and selling stocks and bonds at inopportune times just because a bad news event comes along or via peer pressure.  Remember that, if you have read all my previous posts, you are more than likely in the 90th percentile of individuals understanding of how the financial markets work.  Keep in mind there have not been that many posts to my blog, so I hope you realize that it is not as painful as you might have once thought learning about managing your investment portfolio and the financial markets is.

As an aside, please feel free to reach out to me if you have a recommendation for a topic I can discuss.  Please remember that this is a website geared toward individual investors who are novices or have not been investing for too long.   Thus, I am not looking to discuss how one might use ARIMA modeling to understand how macroeconomic variables affect the financial markets or individual stocks/bonds.  I appreciate you keeping it relatively simple.  With that being said, if enough people contact me in regard to one specific topic, I will definitely take a closer look.  Thank you in advance for your participation and time thinking about what would be more useful to you.  Furthermore, I am hoping that I cover topics that apply to everyone.  If the collective investment intelligence of the group steps up a few notches, I will cover the topic.  Please send me an email:  latticeworkwealth@gmail.com

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