Category Archives: investing advice

State of the ETF Industry

04 Thursday Mar 2021

Posted by in alpha, asset allocation, Charlie Munger, Fama, Fed, finance, finance books, finance theory, financial advice, Financial Advisor, financial advisor fees, financial advisory fees, financial goals, financial markets, Financial Media, Financial News, financial planning, financial planning books, foreign currency, Forward P/E Ratio, Frank Fabozzi, historical returns, Individual Investing, individual investors, Internet Bubble, investing advice, investing books, investing information, investing tips, investment advice, investment advisory fees, investment books, investments, Irrational Exuberance, LIBOR, market timing, math, Uncategorized

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We review the growth of the ETF industry year-to-date, as well as over the past 12 months.
— Read on blog.etfthinktank.com/blog/state-of-the-etf-industry

Hedge funds rush to get to grips with retail message boards | Financial Times

29 Friday Jan 2021

Posted by in active versus passive debate, asset allocation, behavioral finance, beta, Black Swan, blended benchmark, bond market, Bond Mathematics, Bond Risks, bond yields, book deals, Brexit, business books, CAPE, Charlie Munger, cnbc, Consumer Finance, correlation, correlation coefficient, economics, enhanced indexing, EQ, EU, Fabozzi, Fama, Fed, Federal Reserve, Fiduciary, finance, finance theory, financial advice, financial advisor fees, financial advisory fees, financial markets, Financial Media, Financial News, financial services industry, Forward P/E Ratio, Frank Fabozzi, Geometric Returns, GIPS, Greenspan, gross returns, historical returns, Individual Investing, individual investors, interest rates, Internet Bubble, investing, investing advice, investing books, investing information, investing tips, investment advice, investment books, Irrational Exuberance, LIBOR, market timing, Markowitz, math, MBS, Modern Portfolio Theory, MPT, Nassim Taleb, Nobel Prize, P/E Ratio, passive investing, personal finance, portfolio, Post Brexit, probit, probit model, reasonable fees, reasonable fees for financial advisor, reasonable fees for investment advice, reasonable financial advisor fees, rebalancing, rebalancing investment portfolio, rising interest rate environment, rising interest rates, risk, risk tolerance, risks of bonds, risks of stocks, Robert Shiller, S&P 500, S&P 500 historical returns, S&P 500 Index, Schiller, Search for Yield, Sharpe, Shiller P/E Ratio, speculation, standard deviation, State Income Taxes, statistics, stock market, Stock Market Returns, Stock Market Valuation, stock prices, stocks, Taleb, time series, time series data, types of bonds, Valuation, volatility, Warren Buffett, Yellen, yield, yield curve, yield curve inversion

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Professional speculators start efforts to scrape data from Reddit to avoid assaults
— Read on www.ft.com/content/04477ee8-0af2-4f0f-a331-2987444892c3

Top Five Investing Articles for Individual Investors Read in 2020

18 Sunday Oct 2020

Posted by in financial planning, Individual Investing, individual investors, investing advice, investing information, investing tips, investment advice, passive investing, reasonable fees for financial advisor, reasonable fees for investment advice, time series, time series data

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As the end of 2020 looms, I wanted to share a recap of the five most viewed articles I have written over the past year.  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.

  • 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.

  • 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.

  • 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”.

  • 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.  It is currently at over 100,000 views and counting.

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, 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 2021, please feel free to leave the suggestions in the comments.

Are Your Financial Advisor’s Fees Reasonable? A Unique Perspective – Retirees

14 Tuesday Jan 2020

Posted by in asset allocation, Consumer Finance, Education, financial advice, Financial Advisor, financial advisor fees, financial advisory fees, financial goals, financial markets, financial planning, financial services industry, gross returns, Individual Investing, individual investors, investing, investing advice, investing information, investing tips, investment advice, investment advisory fees, investments, personal finance, portfolio, reasonable fees, reasonable fees for financial advisor, reasonable fees for investment advice, reasonable financial advisor fees, Stock Market Returns

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I started off this examination with a brief introduction to this question.  You can see that discussion by clicking on the following link:

https://latticeworkwealth.com/2020/01/13/are-your-financial-advisor-fees-reasonable-introduction/

As promised, I will start by using retirees as the individual investors.  The hypothetical example is meant to get you thinking about the reasonableness of investing fees and how they affect you reaching your financial goals.  Of course, I will discuss the same topic but using those individual investors who are saving for retirement.  But now, let’s dive into our discussion of this topic by focusing on those individual investors already in retirement.

Example for Retirees:

If you are retired and not independently wealthy, you are in the wealth distribution phase of your life.  There are some retirees that are permanently in the wealth preservation phase.  Wealth preservation simply means that an investor has enough money to live comfortably, but he/she does not need to deplete his/her investment portfolio.  Furthermore, this investor does not really try to increase the value of his or her investment portfolio.  A retiree in the wealth distribution phase of life is the most common example.  This investor is gradually depleting his/her investment portfolio to pay for living expenses on an annual basis.

Since this person is not working anymore, (thus has no income from work, and longevity keeps getting longer), he/she needs have an investment portfolio that is somewhat conservative in nature.  Therefore, it is not reasonable to expect to earn 8.0% per year.  A more common target return might be 5.5-6.0%.  If you are working with a financial professional who charges you 1.0%, you need to earn 6.5-7.0% on a gross basis in order to get to that target net return.  Now the long-term historical average of stocks is about 9.5%, so the higher your AUM fees are, the more weighting you will need to have in stocks and away from bonds and cash.  Well, we have already gone over that, and most individuals that present information will stop there.  I want to take this even further though.

Let’s say you are a current retiree with $1 million that you are living on an additional to Social Security income.  You have a target return of 5.5% to fund your desired retirement lifestyle, and your Financial Advisor charges you a 1.0% AUM fee.  Thus, you will need to earn a 6.5% return gross to reach your bogey.  Now I would like to put in the twist, and I want to do a thought experiment with you.  Your Financial Advisor will sit down with you and assess your risk tolerance and ensure that the investment recommendations made are not too aggressive for you.  If you cannot take too much volatility (fluctuation in asset prices up and down over the short term), your financial professional will reduce your exposure to equities.

Now let’s look at our example through the lens of economic principles.  If you just retired and are 65, you have one option right away.  You can simply invest all your retirement money in 10-year Treasury notes issued by the Department of the Treasury.  Treasury notes are free to buy.  All you need to do is to participate in one of the Treasury auctions and put an indirect bid in.  What is an indirect bid?  An indirect bid is simply saying that you would like to buy a set dollar amount of notes, and you are willing to accept whatever the market interest rate set by the auction is.  What is the yield on the 10-year Treasury Note right now?  The 10-year Treasury closed at 1.85% on January 13, 2020.  When you go to a financial professional, he/she is selecting investments in lieu of you simply purchasing the 10-year Treasury Note.  Keep in mind that US Treasuries are among the safest investments in the world.  They are backed by the full faith and credit of the US government.  Stocks, bonds, real estate, gold, and other investment options all have an added degree of risk.  With the additional risk, there is a possibility for higher returns though.  How does this relate to your 1.0% AUM fee?

Think about it this way:  why are you paying your Financial Advisor?  You are paying him/her to select investments that can earn you more than simply buying a US Treasury Bill, Note, or Bond.  As an investor, you do not want to just settle for that return in most cases.  With that being said though, you can just start out there and forget it.  You do not need to engage a Financial Advisor to simply buy a 10-year US Treasury note.  This means that you are paying the Financial Advisor to get you incremental returns.

In our example above for a retiree, your target investment return is 5.5%.  If you can earn 5.5% during the year, the incremental return is 3.65% (5.50%-1.85%).  Remember that you are paying the Financial Advisor 1.0% in an AUM fee.  Therefore, you are paying the Financial Advisor 1.0% of your assets in order to get you an extra 3.65% in investment returns.  Well, 1.0% is 27.4% of 3.65%.  Thus, you are essentially paying a fee of 27.4% in reality.  Now your financial professional would flip if the information was presented in this way.  He/she would say that it is flawed.  The mathematics cannot be argued with; however, I will admit that many folks in the financial services industry would disagree with this type of presentation.

 Remember that you started out with $1 million.  You could have gone to the bank and gotten cash and hid it in a safe within your residence.  AUM fees are always presented by using your investment portfolio as the denominator.  In our example, your investment fee is 1.0% ($10,000 / $1,000,000).  I urge you to think about this though.  Does that really matter?  Of course, the fee you pay to your Financial Advisor will be calculated in this manner.  But what are you paying for in terms of incremental returns?  If you want to calculate what you are paying for (the value that your Financial Advisor provides), the reference to the starting balance in your brokerage account is moot.  It is yours to begin with.  You have that money at any given time.  Therefore, it should be removed from the equation when trying to quantify the value your Financial Advisor provides in terms of investment returns on your portfolio.

Now remember that I said your target investment return was 5.5%.  The long-term historical average of stocks is approximately 9.5%.  If you choose to simply allocate only enough of your investment portfolio in stocks and the rest in cash to reach that 5.5% target, you will select an allocation of 53.0% stocks and 47.0% cash (5.5% = 53.0% * 9.5% + 47.0% * 1.0%).  Note that I am assuming that cash earns 1.0% and that you can select an ETF or index mutual fund to capture the long-term historical average for stocks.  Now your financial professional is working with you to select an investment portfolio that achieves the 5.5% target return, and their investment recommendations will be different than this hypothetical allocation.

The hypothetical allocation achieves your target return with a simple choice of two assets (an ETF or index mutual fund and a money market).  Keep in mind that you will normally have a portion of your portfolio allocated to fixed income.  The 10-Year US Treasury note is trading around 1.85% as of January 13, 2020.  If you allocate your portfolio to 60% stocks, 30% 10-Year Treasury Note, and 10% cash, your expected return would be 5.5% (5.5% = 49.0% * 9.5% + 41.0% * 1.85% + 10.0% * 1.0%).

Whatever your Financial Advisor is charging you in terms of fees, you need to make that percentage more in your total return on a gross basis such that your net return equals your target return.  In our example above, the assumed AUM fee was 1.0%.  That investment fee means that you must earn 6.5% on a gross basis because you need to pay your Financial Advisor 1.0% for his/her services.  After the fee is paid, the return on your portfolio needs to be 5.5% on a net basis.

So, how much weighting do stocks need to be in your portfolio to ensure that your overall returns are 5.5% after paying your AUM fee?  The answer is 62.5%.  Why?  The expected return of your portfolio is 6.5% (6.5% = 62.5% * 9.5% + 27.5% * 1.85% + 10.0% * 1.0%) before fees.  Given the average retiree’s risk tolerance at age 65 or older, many individual investors do not desire to have a portfolio with 60.0% or larger allocated to stocks.  The more salient observation is that the individual investor had to increase his/her stock allocation by 13.5% in order to pay the 1.0% AUM fee.  This increased allocation to stocks significantly increases the risk of our hypothetical portfolio.  And keep in mind that the historical, long-term average of stocks is just that.  It is an average and rarely is 9.5% in any given year.

But what if we could find a Financial Advisor that only charges 0.5% AUM fee?  How would that change our example above?  So, we now need to earn a gross investment return of 6.0% rather than 6.5%.  The new portfolio allocation is 55.0% * 9.5% + 35.0% * 1.85% + 10.0% * 1.0% = 6.0%.  Our main takeaways here are that the allocation to stocks only increases by 6.0% (55.0% – 49.0%), and this portfolio has a stock allocation less than 60.0%.

Now let’s look at some actual historical data.  The S&P 500 Index did not have a single down year since 2008 if we looked at the subsequent five years of stock returns.  The returns for 2009, 2010, 2011, and 2012 were 26.5%, 15.1%, 2.1%, and 16.0%, respectively.  The average return over that span was 14.9%.  As of December 31, 2019, the S&P 500 Index was up 31.5% for 2019 including the reinvestment of dividends.  Now I am by no means making a prediction for 2020.  However, I wanted to drive home the fact that, if your Financial Advisor sets up your financial plan with the assumption that your stock allocation will earn 9.5% on average, any actual return lower than that estimate will cause you to not reach your target return.  What is the effect?  You will not be able to maintain the lifestyle you had planned on, even more so if there are negative returns experienced in stocks over the coming years.

Essential/Important Lesson:

Let’s look at the next five years starting in 2015.  A five-year period covers 2015-2019.  If you start out with $1,000,000 invested in stocks and plan on earning 9.5% per year, you are expecting to have $1,574,239 at the end of five years.  Let’s say that the return of stocks is only 4.5% per year over the next five years.  You will only have $1,246,182 as of December 31, 2019.  The difference is $328,057 less than you were expecting.  The analysis gets worse at this point though.  How can it get any worse?

Well, if you were planning on 9.5% returns from stocks per year, the next five-year period 2019-2023 needs an excess return to catch up.  Thus, if your starting point on January 1, 2015 is $1,000,000, your financial plan is set up to have $2,478,228 as of December 31, 2023.  If you are starting behind your estimate in 2019, the only way you can make up the difference is to have stocks earn 14.7% over that five-year period which is 5.2% higher than the historical average.  As you can see underperformance can really hurt financial planning.  The extremely important point here is that a 1.0% AUM fee will cause you to be even further behind your goals.  Remember that the illustration above is gross returns.  You only care about net returns and what your terminal value is.  Terminal value is simply a fancy way to say how much money is actually in your brokerage account.

Are Your Financial Advisor’s Fees Reasonable? A Unique Perspective – Introduction

13 Monday Jan 2020

Posted by in asset allocation, benchmarks, Education, financial advice, Financial Advisor, financial advisor fees, financial advisory fees, financial goals, financial markets, financial planning, financial services industry, investing advice, investing tips, investment advice, investment advisory fees, personal finance, reasonable fees, reasonable fees for financial advisor, reasonable fees for investment advice, reasonable financial advisor fees, statistics, Suitability

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This brief article introduces the topic for this article.  Since I will be looking at the issue of the reasonableness of investing fees from the viewpoint of individual investors saving for retirement or currently in retirement, I will devote separate articles to these groups.  Our journey will be an exploration of whether or not the fees you are paying to a financial professional are reasonable.  Furthermore, we will examine how the expenses affect your overall investment performance and reaching your financial goals.

Most financial professionals are charging clients based upon assets under management (AUM).  The most common fee is 1%.  For example, the fee for a $1 million portfolio would be $10,000 ($1,000,000 * 1%).  Now you have heard me talk about the importance of keeping fees as low as possible.  Essentially you are trying to maximize your investment returns each year.  If you have quite a few needs, a Financial Advisor usually can provide a number of different services and advice.  For example, you also may need assistance with legal and tax advice.  Additionally, you may have more complex financial planning needs.  Financial professionals will assist you with portfolio allocation always.

With that being said, I am going to look at AUM fees in a way that you may not be familiar with.  A significant number of induvial investors do not need all the services that financial professionals offer (e.g. tax planning, trusts, charitable giving, and more).  I can tell you already that the financial services industry is not happy with and/or does not agree with this presentation.  However, my only goal (the overarching goal of a good portion of my blog too) is to help you and provide you with an argument that may finally give you the impetus to manage your own investments or think seriously about working with a financial planner that charges fees on an hourly basis or a flat fee.

I also encourage you to read The Wall Street Journal newspaper for October 5, 2012.  On the bottom of the Business & Finance section, Jason Zweig discusses the many conflicts of interest that Financial Advisors have.  FINRA (a Self-Regulatory Organization comprised of all brokerage firms) issued a 22,000-word report about fees, conflicts, and compensation of Financial Advisors.  Oddly enough, the words “advice” and “investing” showed up less than 10 times.  The financial services industry is concerned about this matter, so you should take note and learn much more about what you are paying for.

Here is a link to the above article:

https://www.wsj.com/articles/SB10000872396390443493304578038811945287932

The next article will start off with individual investors that are currently in retirement.  Then another article will come out which discusses the same ramifications for individual investors that are currently saving for retirement.

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

27 Friday Dec 2019

Posted by 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.

Rebalancing Your Investment Portfolio – Overview

14 Saturday Dec 2019

Posted by in asset allocation, financial advice, financial goals, financial markets, financial planning, financial services industry, Individual Investing, individual investors, investing, investing advice, investing tips, investment advice, investments, personal finance, portfolio, rebalancing, rebalancing investment portfolio, Stock Market Returns

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With the end of the year fast approaching, it is an excellent time to discuss the concept of rebalancing one’s investment portfolio.  The simplest definition of rebalancing is the periodic reallocation of an investment portfolio back to the original percentages desired.  The fluctuations of the financial markets over time will inevitably alter the amount of exposure in one’s investment portfolio to different types of assets.  The jargon in the financial services industry is your asset allocation

These changes may cause the portfolio to be suboptimal given an individual investor’s financial goals and tolerance for risk.  Knowing about rebalancing is so important because it is one of the most effective ways to eliminate, or at least reduce, the emotions surrounding investment decisions that affect even professional investors.  Additionally, numerous academic studies have concluded that 85% of the overall return of an investment portfolio comes from asset allocation.

I published a three-part series of articles to define and explain the various nuances of rebalancing an individual investor’s investment portfolio several years ago.  However, I thought that it would be a great idea to bring it back as an updated version because the end of the year is fast approaching.  The first article covers the definition of rebalancing in its entirety.  Furthermore, the article looks at an illustration of how rebalancing works in the real world.  It offers an introduction to this important investing tool.  The link to the complete article can be found here:

https://latticeworkwealth.com/2015/07/16/how-to-rebalance-your-investment-portfolio-part-1-of-3/

The second article discusses a unique way to get assistance with rebalancing an investment portfolio.  Many of the largest asset managers in the financial services industry, such as Vanguard, Fidelity, and T Rowe Price, offer life cycle or target date mutual funds.  These mutual funds have a predefined year that the individual investor intends to retire.  Moreover, the combination of assets in the mutual fund is structured to change over time and become less risky as the target date approaches.

Since these mutual funds report their holdings on a periodic basis, any individual investor is able to replicate the strategy for free.  Plus, another feature is that an individual investor can be more conservative or aggressive than his/her age warrants according to the mutual fund family’s calculations.  The individual investor is able to pick a target date closer than the endpoint (i.e. more conservative) or pick a target date later than the endpoint (i.e. more aggressive).  For a more comprehensive discussion of this facet of rebalancing an investment portfolio follow this link:

https://latticeworkwealth.com/2015/07/29/how-to-rebalance-your-investment-portfolio-part-2-of-3/

The third and final article discusses the most advanced feature of rebalancing utilized by a subset of individual investors.  The investing strategy is referred to as dynamic rebalancing in most investment circles.  Dynamic rebalancing follows the general tenets of rebalancing.  However, it allows the individual investor to exercise more flexibility during the rebalancing process of the investment portfolio.  Essentially the individual investor determines bands or ranges of acceptable exposures to asset classes or components within the investment portfolio.

For example, a lower bound and upper bound for the asset allocation percentage to stocks is set.  The individual investor is free to allocate monies to stocks no less than the lower bound and no more than the upper bound.  Note that the bands or ranges are normally fairly tight and applies to the subcomponents of the investment portfolio, such as small cap stocks, emerging market stocks, international bonds, and so forth.  To learn more about this fairly complex aspect of rebalancing follow this link:

https://latticeworkwealth.com/2015/11/21/how-to-rebalance-your-investment-portfolio-part-3-of-3/

The articles above capture the vast majority of information individual investors need to know about rebalancing an investment portfolio.  It is good to get a head start on learning about or reviewing this topic prior to the end of the year.  The reason is that most rebalancing plans utilize the end of the calendar year as the periodic adjustment timeframe.

Top Five Investing Articles for Individual Investors Read in 2019

09 Monday Dec 2019

Posted by 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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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 – Statistics and Time Series Data – Part 2 of 3

20 Wednesday Nov 2019

Posted by 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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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.

Breakthrough Drugs, Statistics, and Anecdotes: Three Things Every Individual Investor Needs to Know – Part 1 of 3

11 Monday Nov 2019

Posted by in asset allocation, Education, financial advice, financial goals, financial markets, Financial Media, Financial News, financial planning, financial services industry, investing, investing advice, investing information, investing tips, investment advice, investments, math, personal finance, portfolio, S&P 500, S&P 500 Index, statistics, time series, time series data

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Although the title might appear to be random at first glance, I promise that there is an underlying theme.  This article is the first in a three-part series that will discuss how individual investors are bombarded with information about what happens in the financial market.  Most of the time you might hear that, 5 out of the last 7 times “x” happened, the S&P 500 index went up by 10% or more.  I will argue that most of these types of comments might be useful trivia for the television show, Jeopardy; however, they should not impact your long-term investment plan.

So, why did I use breakthrough drugs?  Prior to any drug coming to the marketplace, the FDA does a very thorough review of the test results to ensure that the drug is safe and also its efficacy is not overstated.  What if I told you that a pharmaceutical firm came up with a possible cure for lung cancer, and there were successful trials of 10 individuals.  Does that sound like a group too small to draw any conclusions?  Would you take a drug that the testing was only done on a handful of people?  Now the FDA would never allow such a thing, and there are tons of protocols and blind or double-blind randomized testing of many individuals.  It just sounds weird if only 10 people were tested, and there was also no control group (i.e. a separate group given a placebo).

While the drug example seems a bit outrageous and contrived, I bet you can think of similar examples in the daily financial press (e.g. financial television or print media).  Whenever you hear a small number of events happening that “tend to” lead to certain financial market outcomes, you should be extremely wary.  For instance, I just heard today that, after the Singles Day huge ecommerce sale by Alibaba, the stock (Ticker Symbol:  BABA) is up 80% of the time over the course of the next two weeks.  Well, when did Alibaba start Singles Day?  The first Singles Day sale was in 2009.  Therefore, we have 10 data points to work with (2009 to 2018).  Given the information I referred to above, the comment made today simply says that the stock has been up after two weeks 8 out of the last 10 years.  Now I will try to hold in my red flags and bit of ludicrous thoughts, this type of information is not informative at all.  There are just too few observations to draw any sort of valid conclusion.

Here is the plan of attack for the next two articles.  The second part of this discussion will focus on statistics.  Yes, I know this topic is not too much fun and can get complicated very quickly.  However, individual investors need to know a bit about statistics to recognize when a quantitative quote is totally useless.  We will not get too granular though, I promise.  Essentially most financial market data is time series data.  Different rules apply in that case, and these rules are broken all the time by even the most sophisticated professional investors and commentators.  The third part of this discussion will be an in-depth examination of an actual event that grounds my argument in recent events.  I will examine what is called the inversion of the yield curve and how it normally portends a recession for the U.S. economy.  Don’t worry; I am going to explain those terms when the third part of this series rolls around.

Please join me in a critical review of all the financial market and economic data you get bombarded with.  So much of it is just “noise” or simply interesting trivia at best.  Note that the interesting trivia cannot guide or inform your particular asset allocation of investments.  As always, if you have questions along the way, please feel free to comment on this or any other article.