This is my quarterly update on how much the market is likely to return over the next 10 years.  At the end of the last quarter, that figure was around 6.54%/year.  For comparison purposes, that is at the 77th percentile of outcomes — high, but not nosebleed high, which to me, is when the market is priced to return 3% or less.  That’s when you run.

Adding in quarter to date movements, the current value should be near 6.3%/year (79th percentile).

With all of the hoopla over how high the market is, why is this measure not screaming run?  This is because average investors, retail and institutional, are not as heavily invested in the equity markets as is typical toward the end of bull markets.  There are many articles calling for caution — I have issued a few as well.

From an asset-liability management standpoint, bull markets get particularly precarious when caution is thrown to the wind, and people genuinely believe that there is no alternative to stocks — that you are missing out on “free money” if you are not invested in stocks.

We aren’t there now.  So, much as I am not crazy about the present state of the credit cycle (debts rising, income falling), there is still the reasonable possibility of more gains in the stock markets.


For more on this series, see the first four articles in this search, which describe the model, and its past estimates.

ecphilosopher data 2015 revision_21058_image001

You might remember my post Estimating Future Stock Returns, and its follow-up piece.  If not they are good reads, and you can get the data on one file here.

The Z.1 report came out yesterday, giving an important new data point to the analysis.  After all, the most recent point gives the best read into current conditions.  As of March 31st, 2016 the best estimate of 10-year returns on the S&P 500 is 6.74%/year.

The sharp-eyed reader will say, “Wait a minute!  That’s higher than last time, and the market is higher also!  What happened?!”  Good question.

First, the market isn’t higher from 12/31/2015 to 3/31/2016 — it’s down about a percent, with dividends.  But that would be enough to move the estimate on the return up maybe 0.10%.  It moved up 0.64%, so where did the 0.54% come from?

The market climbs a wall of worry, and the private sector has been holding less stock as a percentage of assets than before — the percentage went from 37.6% to 37.1%, and the absolute amount fell by about $250 billion.  Some stock gets eliminated by M&A for cash, some by buybacks, etc.  The amount has been falling over the last twelve months, while the amount in bonds, cash, and other assets keeps rising.

If you think that return on assets doesn’t vary that much over time, you would conclude that having a smaller amount of stock owning the assets would lead to a higher rate of return on the stock.  One year ago, the percentage the private sector held in stocks was 39.6%.  A move down of 2.5% is pretty large, and moved the estimate for 10-year future returns from 4.98% to 6.74%.


As a result, I am a little less bearish.  The valuations are above average, but they aren’t at levels that would lead to a severe crash.  Take note, Palindrome.

Bear markets are always possible, but a big one is not likely here.  Yes, this is the ordinarily bearish David Merkel writing.  I’m not really a bull here, but I’m not changing my asset allocation which is 75% in risk assets.

Postscript for Nerds

One other thing affecting this calculation is the Federal Reserve revising estimates of assets other than stocks up prior to 1961.  There are little adjustments in the last few years, but in percentage terms the adjustments prior to 1961 are huge, and drop the R-squared of the regression from 90% to 86%, which also is huge.  I don’t know what the Fed’s statisticians are doing here, but I am going to look into it, because it is troubling to wonder if your data series is sound or not.

That said, the R-squared on this model is better than any alternative.  Next time, if I get a chance, I will try to put a confidence interval on the estimate.  Till then.

Photo Credit: GotCredit

Photo Credit: GotCredit

This is another piece in the irregular Simple Stuff series, which is an attempt to make complex topics simple.  Today’s topic is:

What is risk?

Here is my simple definition of risk:

Risk is the probability that an entity will not meet its goals, and the degree of pain it will go through depending on how much it missed the goals.

There are several good things about this definition:

  • Note that the word “money” is not mentioned.  As such, it can cover a wide number of situations.
  • It is individual.  The same size of a miss of a goal for one person may cause him to go broke, while another just has to miss a vacation.  The same event may happen for two people — it may be a miss for one, and not for the other one.
  • It catches both aspects of risk — likelihood of a bad event, and degree of harm from how badly the goal was missed.
  • It takes into account the possibility that there are many goals that must be met.
  • It covers both composite entities like corporations, families, nations and cultures, as well as individuals.
  • It doesn’t make life easy for academic economists who want to have a uniform definition of risk so that they can publish economics and finance papers that are bogus.  Erudite, but bogus.
  • It doesn’t specify that there has to be a single time horizon, or any time horizon.
  • It doesn’t specify a method for analysis.  That should vary by the situation being analyzed.

But this is a blog on finance and investing risk, so now I will focus on that large class of situations.

What is Financial Risk?

Here are some things that financial risk can be:

  • You don’t get to retire when you want to, or, your retirement is not as nice as you might like
  • One or more of your children can’t go to college, or, can’t go to the college that the would like to attend
  • You can’t buy the home/auto/etc. of your choice.
  • A financial security plan, like a defined benefit plan, or Social Security has to cut back benefit payments.
  • The firm you work for goes broke, or gets competed into an also-ran.
  • You lose your job, can’t find another job as good, and you default on important regular bills as a result.  The same applies to people who run their own business.
  • Levered financial businesses, like banks and shadow banks, make too many loans to marginal borrowers, and find at some point that their borrowers can’t pay them back, and at the same time, no one wants to lend to them.  This can be harmful not just to the banks and shadow banks, but to the economy as a whole.

Let’s use retirement as an example of how to analyze financial risk.  I have a series of articles that I have written on the topic based on the idea of the personal required investment earnings rate [PRIER].  PRIER is not a unique concept of mine, but is attempt to apply the ideas of professionals trying to manage the assets and liabilities of an endowment, defined benefit plan, or life insurance company to the needs of an individual or a family.

The main idea is to try to calculate the rate of return you will need over time to meet your eventual goals.  From my prior “PRIER” article, which was written back in January 2008, prior to the financial crisis:

To the extent that one can estimate what one can reasonably save (hard, but worth doing), and what the needs of the future will cost, and when they will come due (harder, but worth doing), one can estimate personal contribution and required investment earnings rates.  Set up a spreadsheet with current assets and the likely savings as positive figures, and the future needs as negative figures, with the likely dates next to them.  Then use the XIRR function in Excel to estimate the personal required investment earnings rate [PRIER].

I’m treating financial planning in the same way that a Defined Benefit pension plan analyzes its risks.  There’s a reason for this, and I’ll get to that later.  Just as we know that a high assumed investment earnings rate at a defined benefit pension plan is a red flag, it is the same to an individual with a high PRIER.

Now, suppose at the end of the exercise one finds that the PRIER is greater than the yield on 10-year BBB bonds by more than 3%.  (Today that would be higher than 9%.)  That means you are not likely to make your goals.   You can either:

  • Save more, or,
  • Reduce future expectations,whether that comes from doing the same things cheaper, or deferring when you do them.

Those are hard choices, but most people don’t make those choices because they never sit down and run the numbers.  Now, I left out a common choice that is more commonly chosen: invest more aggressively.  This is more commonly done because it is “free.”  In order to get more return, one must take more risk, so take more risk and you will get more return, right?  Right?!

Sadly, no.  Go back to Defined Benefit programs for a moment.  Think of the last eight years, where the average DB plan has been chasing a 8-9%/yr required yield.  What have they earned?  On a 60/40 equity/debt mandate, using the S&P 500 and the Lehman Aggregate as proxies, the return would be 3.5%/year, with the lion’s share coming from the less risky investment grade bonds.  The overshoot of the ’90s has been replaced by the undershoot of the 2000s.  Now, missing your funding target for eight years at 5%/yr or so is serious stuff, and this is a problem being faced by DB pension plans and individuals today.

The article goes on, and there are several others that flesh out the ideas further:

Simple Summary

Though there are complexities in trying to manage financial risk, the main ideas for dealing with financial risk are these:

  1. Spend time estimating your future needs and what resources you can put toward them.
  2. Be conservative in what you think you assets can earn.
  3. Be flexible in your goals if you find that you cannot reasonably achieve your dreams.
  4. Consider what can go wrong, get proper insurance where needed, and be judicious on taking on large fixed commitments to spend money in the future.

PS — Two final notes:

On the topic of “what can go wrong in personal finance, I did a series on that here.

Investment risk is sometimes confused with volatility.  Here’s a discussion of when that makes sense, and when it doesn”t.

I’m thinking of starting a limited series called “dirty secrets” of finance and investing.  If anyone wants to toss me some ideas you can contact me here.  I know that since starting this blog, I have used the phrase “dirty secret” at least ten times.

Tonight’s dirty secret is a simple one, and it derives mostly from investor behavior.  You don’t always get more return on average if you take more risk.  The amount of added return declines with each unit of additional risk, and eventually turns negative at high levels of risk.  The graph above is a vague approximate representation of how this process works.

Why is this so?  Two related reasons:

  1. People are not very good at estimating the probability of success for ventures, and it gets worse as the probability of success gets lower.  People overpay for chancy lottery ticket-like investments, because they would like to strike it rich.  This malady affect men more than women, on average.
  2. People get to investment ideas late.  They buy closer to tops than bottoms, and they sell closer to bottoms than tops.  As a result, the more volatile the investment, the more money they lose in their buying and selling.  This malady also affects men more than women, on average.

Put another way, this is choosing your investments based on your circle of competence, such that your probability of choosing a good investment goes up, and second, having the fortitude to hold a good investment through good and bad times.  From my series on dollar-weighted returns you know that the more volatile the investment is, the more average people lose in their buying and selling of the investment, versus being a buy-and-hold investor.

Since stocks are a long duration investment, don’t buy them unless you are going to hold them long enough for your thesis to work out.  Things don’t always go right in the short run, even with good ideas.  (And occasionally, things go right in the short run with bad ideas.)

For more on this topic, you can look at my creative piece, Volatility Analogy.  It explains the intuition behind how volatility affects the results that investors receive as they get greedy, panic, and hold on for dear life.

In closing, the dirty secret is this: size your risk level to what you can live with without getting greedy or panicking.  You will do better than other investors who get tempted to make rash moves, and act on that temptation.  On average, the world belongs to moderate risk-takers.

Photo Credit: Kathryn

Photo Credit: Kathryn || Truly, I sympathize.  I try to be strong for others when internally I am broken.

Entire societies and nations have been wiped out in the past.  Sometimes this has been in spite of the best efforts of leading citizens to avoid it, and sometimes it has been because of their efforts.  In human terms, this is as bad as it gets on Earth.  In virtually all of these cases, the optimal strategy was to run, and hope that wherever you ended up would be kind to foreigners.  Also, most common methods of preserving value don’t work in the worst situations… flight capital stashed early in the place of refuge and gold might work, if you can get there.

There.  That’s the worst survivable scenario I can think of.  What does it take to get there?

  • Total government and market breakdown, or
  • A lost war on your home soil, with the victors considerably less kind than the USA and its allies

The odds of these are very low in most of the developed world.  In the developing world, most of the wealthy have “flight capital” stashed away in the USA or someplace equally reliable.


Most nations, societies and economies are more durable than most people would expect.  There is a cynical reason for this: the wealthy and the powerful have a distinct interest in not letting things break.  As Solomon observed a little less than 3000 years ago:

If you see the oppression of the poor, and the violent perversion of justice and righteousness in a province, do not marvel at the matter; for high official watches over high official, and higher officials are over them. Moreover the profit of the land is for all; even the king is served from the field. — Ecclesiastes 5:8-9 [NKJV]

In general, I think there is no value in preparing for the “total disaster” scenario if you live in the developed world.  No one wants to poison their own prosperity, and so the rich and powerful hold back from being too rapacious.


If you don’t have a copy, it would be a good idea to get a copy of Triumph of the Optimists.  [TOTO]  As I commented in my review of TOTO:

TOTO points out a number of things that should bias investors toward risk-bearing in the equity markets:

  1. Over the period 1900-2000, equities beat bonds, which beat cash in returns. (Note: time weighted returns. If the study had been done with dollar-weighted returns, the order would be the same, but the differences would not be so big.)

  2. This was true regardless of what presently developed nation you looked at. (Note: survivor bias… what of all the developing markets that looked bigger in 1900, like Russia and India, that amounted to little?)

  3. Relative importance of industries shifts, but the aggregate market tended to do well regardless. (Note: some industries are manias when they are new)

  4. Returns were higher globally in the last quarter of the 20th century.

  5. Downdrafts can be severe. Consider the US 1929-1932, UK 1973-74, Germany 1945-48, or Japan 1944-47. Amazing what losing a war on your home soil can do, or, even a severe recession.

  6. Real cash returns tend to be positive but small.

  7. Long bonds returned more than short bonds, but with a lot more risk. High grade corporate bonds returned more on average, but again, with some severe downdrafts.

  8. Purchasing power parity seems to work for currencies in the long run. (Note: estimates of forward interest rates work in the short run, but they are noisy.)

  9. International diversification may give risk reduction. During times of global stress, such as wartime, it may not diversify much. Global markets are more correlated now than before, reducing diversification benefits.

  10. Small caps may or may not outperform large caps on average.

  11. Value tends to beat growth over the long run.

  12. Higher dividends tend to beat lower dividends.

  13. Forward-looking equity risk premia are lower than most estimates stemming from historical results. (Note: I agree, and the low returns of the 2000s so far in the US are a partial demonstration of that. My estimates are a little lower, even…)

  14. Stocks will beat bonds over the long run, but in the short run, having some bonds makes sense.

  15. Returns in the latter part of the 20th century were artificially high.

Capitalist republics/democracies tend to be very resilient.  This should make us willing to be long term bullish.

Now, many people look at their societies and shake their heads, wondering if things won’t keep getting worse.  This typically falls into three non-exclusive buckets:

  • The rich are getting richer, and the middle class is getting destroyed  (toss in comments about robotics, immigrants, unfair trade, education problems with children, etc.  Most such comments are bogus.)
  • The dependency class is getting larger and larger versus the productive elements of society.  (Add in comments related to demographics… those comments are not bogus, but there is a deal that could be driven here.  A painful deal…)
  • Looking at moral decay, and wondering at it.

You can add to the list.  I don’t discount that there are challenges/troubles.  Even modestly healthy society can deal with these without falling apart.


If you give into fears like these, you can become prey to a variety of investment “experts” who counsel radical strategies that will only succeed with very low probability.  Examples:

  • Strategies that neglect investing in risk assets at all, or pursue shorting them.  (Even with hedge funds you have to be careful, we passed the limits to arbitrage back in the late ’90s, and since then aggregate returns have been poor.  A few niche hedge funds make sense, but they limit their size.)
  • Gold, odd commodities — trend following CTAs can sometimes make sense as a diversifier, but finding one with skill is tough.
  • Anything that smacks of being part of a “secret club.”  There are no secrets in investing.  THERE ARE NO SECRETS IN INVESTING!!!  If you think that con men in investing is not a problem, read On Avoiding Con Men.  I spend lots of time trying to take apart investment pitches that are bogus, and yet I feel that I am barely scraping the surface.


Things are rarely as bad as they seem.  Be willing to be a modest bull most of the time.  I’m not saying don’t be cautious — of course be cautious!  Just don’t let that keep you from taking some risk.  Size your risks to your time horizon for needing cash back, and your ability to sleep at night.  The biggest risk may not be taking no risk, but that might be the most common risk economically for those who have some assets.

To close, here is a personal comment that might help: I am natively a pessimist, and would easily give into disaster scenarios.  I had to train myself to realize that even in the worst situations there was some reason for optimism.  That served me well as I invested spare assets at the bottoms in 2002-3 and 2008-9.  The sun will rise tomorrow, Lord helping us… so diversify and take moderate risks most of time.

Idea Credit: Philosophical Economics Blog

Idea Credit: Philosophical Economics Blog

My most recent post, Estimating Future Stock Returns was well-received.  I expected as much.  I presented it as part of a larger presentation to a session at the Society of Actuaries 2015 Investment Symposium, and a recent meeting of the Baltimore Chapter of the AAII.  Both groups found it to be one of the interesting aspects of my presentation.

This post is meant to answer three reasonable questions that got posed:

  1. How do you estimate the model?
  2. How do we understand what it is forecasting given multiple forecast horizons seemingly implied by the model?
  3. Why didn’t the model how badly the market would do in 2001 and 2008?  And I will add 1973-4 for good measure.

Ready?  Let’s go!

How to Estimate

In his original piece, @Jesse_Livermore freely gave the data and equation out that he used.  I will do that as well.  About a year before I wrote this, I corresponded with him by email, asking if he had noticed that the Fed changed some of the data in the series that his variable used retroactively.  That was interesting, and a harbinger for what would follow.  (Strange things happen when you rely on government data.  They don’t care what others use it for.)

In 2015, the Fed discontinued one of the series that was used in the original calculation.  I noticed that when the latest Z.1 report came out, and I tried to estimate it the old way.  That threw me for a loop, and so I tried to re-estimate the relationship using what data was there.  That led me to do the following:

I tried to get all of them from one source, and could not figure out how to do it.  The Z.1 report has all four variables in it, but somehow, the Fed’s Data Download Program, which one of my friends at a small hedge fund charitably referred to as “finicky” did not have that series, and somehow FRED did.  (I don’t get that, but then there are a lot of things that I don’t get.  This is not one of those times when I say, “Actually, I do get it; I just don’t like it.”  That said, like that great moral philosopher Lucy van Pelt, I haven’t ruled out stupidity yet.  To which I add, including my stupidity.)

The variable is calculated like this:

(A + D)/(A + B + C + D)

Not too hard, huh?  The R-squared is just a touch lower from estimating it the old way… but the difference is not statistically significant.  The estimation is just a simple ordinary least squares regression using that single variable as the independent variable, and the dependent variable being the total return on the S&P 500.

As an aside, I tested the variable over other forecast horizons, and it worked best over 10-11 years.  On individual years, the model is most powerful at predicting the next year (surprise!), and gets progressively weaker with each successive individual year.

To make it concrete: you can use this model to forecast the expected returns for 2016, 2017, 2018, etc.  It won’t be very accurate, but you can do it.  The model gets more accurate forecasting over a longer period of time, because the vagaries of individual years average out.  After 10-11 years, the variable is useless, so if I were put in charge of setting stock market earnings assumptions for a pension plan, I would do it as a step function, 6% for the next 10 years, and 9.5% per year thereafter… or in place of 9.5% whatever your estimate is for what the market should return normally.

On Multiple Forecast Horizons

One reader commented:

I would like to make a small observation if I may. If the 16% per annum from Mar 2009 is correct we still have a 40%+ move to make over the next three years. 670 (SPX March 09) growing at 16% per year yields 2900 +/- in 2019. With the SPX at 2050 we have a way to go. If the 2019 prediction is correct, then the returns after 2019 are going to be abysmal.

The first answer would be that you have to net dividends out.  In March of 2009, the S&P 500 had a dividend yield of around 4%, which quickly fell as the market rose and dividends fell for about one year.  Taking the dividends into account, we only need to get to 2270 or so by the March of 2019, works out to 3.1% per year.  Then add back a dividend yield of about 2.2%, and you are at a more reasonable 5.3%/year.

That said, I would encourage you to keep your eye on the bouncing ball (and sing along with Mitch… does that date me…?).  Always look at the new forecast.  Old forecasts aren’t magic — they’re just the best estimate a single point in time.  That estimate becomes obsolete as conditions change, and people adjust their portfolio holdings to hold proportionately more or less stocks.  The seven year old forecast may get to its spot in three years, or it may not — no model is perfect, but this one does pretty well.

What of 2001 and 2008?  (And 1973-4?)

Another reader wrote:

Interesting post and impressive fit for the 10 year expected returns.  What I noticed in the last graph (total return) is, that the drawdowns from 2001 and 2008 were not forecasted at all. They look quite small on the log-scale and in the long run but cause lot of pain in the short run.

Markets have noise, particularly during bear markets.  The market goes up like an escalator, and goes down like an elevator.  What happens in the last year of a ten-year forecast is a more severe version of what the prior questioner asked about the 2009 forecast of 2019.

As such, you can’t expect miracles.  The thing that is notable is how well this model did versus alternatives, and you need to look at the graph in this article to see it (which was at the top of the last piece).  (The logarithmic graph is meant for a different purpose.)

Looking at 1973-4, 2001-2 and 2008-9, the model missed by 3-5%/year each time at the lows for the bear market.  That is a big miss, but it’s a lot smaller than other models missed by, if starting 10 years earlier.  That said, this model would have told you prior to each bear market that future rewards seemed low — at 5%, -2%, and 5% respectively for the  next ten years.


No model is perfect.  All models have limitations.  That said, this one is pretty useful if you know what it is good for, and its limitations.

Photo Credit: Baynham Goredema || When things are crowded, how much freedom to move do you have?

Photo Credit: Baynham Goredema || When things are crowded, how much freedom to move do you have?

Stock diversification is overrated.

Alternatives are more overrated.

High quality bonds are underrated.

This post was triggered by a guy from the UK who sent me an infographic on reducing risk that I thought was mediocre at best.  First, I don’t like infographics or video.  I want to learn things quickly.  Give me well-written text to read.  A picture is worth maybe fifty words, not a thousand, when it comes to business writing, perhaps excluding some well-designed graphs.

Here’s the problem.  Do you want to reduce the volatility of your asset portfolio?  I have the solution for you.  Buy bonds and hold some cash.

And some say to me, “Wait, I want my money to work hard.  Can’t you find investments that offer a higher return that diversify my portfolio of stocks and other risky assets?”  In a word the answer is “no,” though some will tell you otherwise.

Now once upon a time, in ancient times, prior to the Nixon Era, no one hedged, and no one looked for alternative investments.  Those buying stocks stuck to well-financed “blue chip” companies.

Some clever people realized that they could take risk in other areas, and so they broadened their stock exposure to include:

  • Growth stocks
  • Midcap stocks (value & growth)
  • Small cap stocks (value & growth)
  • REITs and other income passthrough vehicles (BDCs, Royalty Trusts, MLPs, etc.)
  • Developed International stocks (of all kinds)
  • Emerging Market stocks
  • Frontier Market stocks
  • And more…

And initially, it worked.  There was significant diversification until… the new asset subclasses were crowded with institutional money seeking the same things as the original diversifiers.

Now, was there no diversification left?  Not much.  The diversification from investor behavior is largely gone (the liability side of correlation).  Different sectors of the global economy don’t move in perfect lockstep, so natively the return drivers of the assets are 60-90% correlated (the asset side of correlation, think of how the cost of capital moves in a correlated way across companies).  Yes, there are a few nooks and crannies that are neglected, like Russia and Brazil, industries that are deeply out of favor like gold, oil E&P, coal, mining, etc., but you have to hold your nose and take reputational risk to buy them.  How many institutional investors want to take a 25% chance of losing a lot of clients by failing unconventionally?

Why do I hear crickets?  Hmm…

Well, the game wasn’t up yet, and those that pursued diversification pursued alternatives, and they bought:

  • Timberland
  • Real Estate
  • Private Equity
  • Collateralized debt obligations of many flavors
  • Junk bonds
  • Distressed Debt
  • Merger Arbitrage
  • Convertible Arbitrage
  • Other types of arbitrage
  • Commodities
  • Off-the-beaten track bonds and derivatives, both long and short
  • And more… one that stunned me during the last bubble was leverage nonprime commercial paper.

Well guess what?  Much the same thing happened here as happened with non-“blue chip” stocks.  Initially, it worked.  There was significant diversification until… the new asset subclasses were crowded with institutional money seeking the same things as the original diversifiers.

Now, was there no diversification left?  Some, but less.  Not everyone was willing to do all of these.  The diversification from investor behavior was reduced (the liability side of correlation).  These don’t move in perfect lockstep, so natively the return drivers of the risky components of the assets are 60-90% correlated over the long run (the asset side of correlation, think of how the cost of capital moves in a correlated way across companies).  Yes, there are some that are neglected, but you have to hold your nose and take reputational risk to buy them, or sell them short.  Many of those blew up last time.  How many institutional investors want to take a 25% chance of losing a lot of clients by failing unconventionally?

Why do I hear crickets again?  Hmm…

That’s why I don’t think there is a lot to do anymore in diversifying risky assets beyond a certain point.  Spread your exposures, and do it intelligently, such that the eggs are in baskets are different as they can be, without neglecting the effort to buy attractive assets.

But beyond that, hold dry powder.  Think of cash, which doesn’t earn much or lose much.  Think of some longer high quality bonds that do well when things are bad, like long treasuries.

Remember, the reward for taking business risk in general varies over time.  Rewards are relatively thin now, valuations are somewhere in the 9th decile (80-90%).  This isn’t a call to go nuts and sell all of your risky asset positions.  That requires more knowledge than I will ever have.  But it does mean having some dry powder.  The amount is up to you as you evaluate your time horizon and your opportunities.  Choose wisely.  As for me, about 20-30% of my total assets are safe, but I have been a risk-taker most of my life.  Again, choose wisely.

PS — if the low volatility anomaly weren’t overfished, along with other aspects of factor investing (Smart Beta!) those might also offer some diversification.  You will have to wait for those ideas to be forgotten.  Wait to see a few fund closures, and a severe reduction in AUM for the leaders…


This book is not what I expected; it’s still very good. Let me explain, and it will give you a better flavor of the book.

The author, Jason Zweig, is one of the top columnists writing about the markets for The Wall Street Journal.  He is very knowledgeable, properly cautious, and wise.  The title of the book Ambrose Bierce’s book that is commonly called The Devil’s Dictionary.

There are three differences in style between Zweig and Bierce:

  • Bierce is more cynical and satiric.
  • Bierce is usually shorter in his definitions, but occasionally threw in whole poems.
  • Zweig spends more time explaining the history of concepts and practices, and how words evolved to mean what they do today in financial matters.

If you read this book, will you learn a lot about the markets?  Yes.  Will it be fun?  Also yes.  Is it enough to read this and be well-educated?  No, and truly, you need some knowledge of the markets to appreciate the book.  It’s not a book for novices, but someone of intermediate or higher levels of knowledge will get some chuckles out of it, and will nod as he agrees along with the author that the markets are a treacherous place disguised as an easy place to make money.

As one person once said, “Whoever called them securities had a wicked sense of humor.”  Enjoy the book; it doesn’t take long to read, and it can be put down and picked up with no loss of continuity.



Summary / Who Would Benefit from this Book

If you have some knowledge of the markets, and you want to have a good time seeing the wholesome image of the markets skewered, you will enjoy this book.  if you want to buy it, you can buy it here: The Devil’s Financial Dictionary.

Full disclosure: The author sent a free copy to me via his publisher.

If you enter Amazon through my site, and you buy anything, including books, I get a small commission. This is my main source of blog revenue. I prefer this to a “tip jar” because I want you to get something you want, rather than merely giving me a tip. Book reviews take time, particularly with the reading, which most book reviewers don’t do in full, and I typically do. (When I don’t, I mention that I scanned the book. Also, I never use the data that the PR flacks send out.)

Most people buying at Amazon do not enter via a referring website. Thus Amazon builds an extra 1-3% into the prices to all buyers to compensate for the commissions given to the minority that come through referring sites. Whether you buy at Amazon directly or enter via my site, your prices don’t change.

I intended on writing this at some point, but Dr. Wesley Gray (an acquaintance of mine, and whom I respect) beat me to the punch.  As he said in his blog post at The Wall Street Journal’s The Experts blog:

WESLEY GRAY: Imagine the following theoretical investment opportunity: Investors can invest in a fund that will beat the market by 5% a year over the next 10 years. Of course, there is the catch: The path to outperformance will involve a five-year stretch of poor relative performance.  “No problem,” you might think—buy and hold and ignore the short-term noise.

Easier said than done.

Consider Ken Heebner, who ran the CGM Focus Fund, a diversified mutual fund that gained 18% annually, and was Morningstar Inc.’s highest performer of the decade ending in 2009. The CGM Focus fund, in many respects, resembled the theoretical opportunity outlined above. But the story didn’t end there: The average investor in the fund lost 11% annually over the period.

What happened? The massive divergence in the fund’s performance and what the typical fund investor actually earned can be explained by the “behavioral return gap.”

The behavioral return gap works as follows: During periods of strong fund performance, investors pile in, but when fund performance is at its worst, short-sighted investors redeem in droves. Thus, despite a fund’s sound long-term process, the “dollar-weighted” returns, or returns actually achieved by investors in the fund, lag substantially.

In other words, fund managers can deliver a great long-term strategy, but investors can still lose.

CGMFX Dollar Weighted_1552_image002That’s why I wanted to write this post.  Ken Heebner is a really bright guy, and has the strength of his convictions, but his investors don’t in general have similar strength of convictions.  As such, his investors buy high and sell low with his funds.  The graph at the left is from the CGM Focus Fund, as far back as I could get the data at the SEC’s EDGAR database.  The fund goes all the way back to late 1997, and had a tremendous start for which I can’t find the cash flow data.

The column marked flows corresponds to a figure called “Change in net assets derived from capital share transactions” from the Statement of Changes in Net Assets in the annual and semi-annual reports.  This is all public data, but somewhat difficult to aggregate.  I do it by hand.

I use annual cashflows for most of the calculation.  For the buy and hold return, i got the data from Yahoo Finance, which got it from Morningstar.

Note the pattern of cashflows is positive until the financial crisis, and negative thereafter.  Also note that more has gone into the fund than has come out, and thus the average investor has lost money.  The buy-and-hold investor has made money, what precious few were able to do that, much less rebalance.

This would be an ideal fund to rebalance.  Talented manager, will do well over time.  Add money when he does badly, take money out when he does well.  Would make a ton of sense.  Why doesn’t it happen?  Why doesn’t at least buy-and-hold happen?

It doesn’t happen because there is a Asset-Liability mismatch.  It doesn’t matter what the retail investors say their time horizon is, the truth is it is very short.  If you underperform for less than a few years, they yank funds.  The poetic justice is that they yank the funds just as the performance is about to turn.

Practically, the time horizon of an average investor in mutual funds is inversely proportional to the volatility of the funds they invest in.  It takes a certain amount of outperformance (whether relative or absolute) to get them in, and a certain amount of underperformance to get them out.  The more volatile the fund, the more rapidly that happens.  And Ken Heebner is so volatile that the only thing faster than his clients coming and going, is how rapidly he turns the portfolio over, which is once every 4-5 months.

Pretty astounding I think.  This highlights two main facts about retail investing that can’t be denied.

  1. Asset prices move a lot more than fundamentals, and
  2. Most investors chase performance

These two factors lie behind most of the losses that retail investors suffer over the long run, not active management fees.  remember as well that passive investing does not protect retail investors from themselves.  I have done the same analyses with passive portfolios — the results are the same, proportionate to volatility.

I know buy-and-hold gets a bad rap, and it is not deserved.  Take a few of my pieces from the past:

If you are a retail investor, the best thing you can do is set an asset allocation between risky and safe assets.  If you want a spit-in-the-wind estimate use 120 minus your age for the percentage in risky assets, and the rest in safe assets.  Rebalance to those percentages yearly.  If you do that, you will not get caught in the cycle of greed and panic, and you will benefit from the madness of strangers who get greedy and panic with abandon.  (Why 120?  End of the mortality table. 😉 Take it from an investment actuary. 😉 We’re the best-kept secret in the financial markets. 😀 )

Okay, gotta close this off.  This is not the last of this series.  I will do more dollar-weighted returns.  As far as retail investing goes, it is the most important issue.  Period.

I was asked to participate with 57 other bloggers in a post that was entitled 101 ETF Investing Tips.  It’s a pretty good article, and I felt the tips numbered 2, 15, 18, 23, 29, 35, 44, 48, 53, 68, 85, 96, and 98 were particularly good, while 10, 39, 40, 45, 65, 67, 74, 77, 80, and 88 should have been omitted.  The rest were okay.

One consensus finding was that Abnormal Returns was a “go to” site on the internet for finance.  I think so too.

Below were the answers that I gave to the questions.  I hope you enjoy them.

1) What is the one piece of advice you’d give to an investor just starting to build a long-term portfolio?

You need to have reasonable goals.  You also have to have enough investing knowledge to know whether advice that you receive is reasonable.  Finally, when you have a reasonable overall plan, you need to stick with it.

2) What is one mistake you see investors make over and over?

They think investment markets are magic. They don’t save/invest anywhere near enough, and they think that somehow magically the markets will bail out their woeful lack of planning.  They also panic and get greedy at the wrong times.

3) In 20 years, _____. (this can be a prediction about anything — investing-related or otherwise)

In 20 years, most long-term public entitlement and private employee benefit schemes that promised fixed payments/reimbursement will be scaled back dramatically, and most retirees will be very disappointed.  The investment math doesn’t work here – if anything, the politicians were more prone to magical thinking than naïve investors.

4) Buy-and-hold investing is _____.

Buy-and-hold investing is the second-best strategy that average people can apply to markets, if done with sufficient diversification. It is a simple strategy, available to everyone, and it generally beats the performance of average investors who buy and sell out of greed and panic.

5) One book I wish every investor would read is _____. (note that non-investing books are OK!)

One book I wish every investor would read is the Bible. The Bible eliminates magical thinking, commends hard work and saving, and tells people that their treasure should be in Heaven, and not on Earth.  If you are placing your future hope in a worry-free, well-off retirement, the odds are high that you will be disappointed.  But if you trust in Jesus, He will never leave you nor forsake you.

6) The one site / Twitter account / newsletter that I can’t do without is _____.

Abnormal Returns provides the best summary of the top writing on finance and investing every day.  There is no better place to get your information each day, and it comes from a wide array of sources that you could not find on your own.  Credit Tadas Viskanta for his excellent work.

7) The biggest misconception about investing via ETFs is_____.

The biggest misconception about investing via ETFs is that they are all created equal.  They have different expenses and structures, some of which harm their investors.  Simplicity is best – read my article, “The Good ETF” for more.

8 ) Over a 20-year time horizon, I’m bullish on _____. (this can be an asset class, fund, technology, person — anything really!)

Over 20 years, I am bullish on stocks, America, and emerging markets.  Of the developed nations, America has the best combination of attributes to thrive.  The emerging markets offer the best possibility of significant growth.  Stocks may have a rough time in the next five years, but in an environment where demographic and technological change is favoring corporate profits, stocks will do better than other asset classes over 20 years.

9) The one site / Twitter account / newsletter that I can’t do without is _____.

Since you asked twice, the Aleph Blog is one of the best investing blogs on the internet, together with its Twitter feed.  It has written about most of the hard questions on investing in a relatively simple way, and is not generally marketing services to readers.  For the simple stuff, go to the personal finance category at the blog.

10) Any other ETF-related investing tips or advice?

For a fuller view of my ETF-related advice, go to Aleph Blog, and read here.  Briefly, be careful with any ETF that is esoteric, or that you can’t draw a simple diagram to explain how it works.  Also realize that traders of ETFs tend to do worse than those that buy and hold.