Thursday, April 18, 2019

Black Holes, the Higgs Boson and Retirement Planning



The first image of a black hole. Credit: Event Horizon Telescope collaboration et al.

What do relativity theory, quantum mechanics and retirement planning have in common? Not a lot and that's actually an important point.

Black holes were implied by Einstein's work on general relativity in 1915 but the first one wasn't discovered until 1971[1]. Physics was able to predict the existence of one of the largest elements of the universe 56 years before one was discovered.

At the other extreme, on the quantum scale, Peter Higgs and five other scientists proposed the existence of the Higgs boson in 1964. Its existence was confirmed in 2012 based on collisions in the Large Hadron Collider at CERN. The existence of the Higgs boson was predicted 48 years before it could be confirmed.

In retirement planning, we do well to predict finances somewhat accurately more than a year or two in advance. Retirement planning is clearly not rocket science.

Physical sciences and their predictions are based on physical laws of the universe. Acceleration due to gravity on Earth is about 9.8 meters/second2, or about 32 feet per second per second as we Boomers learned in high school physics back when a meter in the U.S. was something one paid a quarter to park. On Mars, it's about 3.7 m/s2. Light travels at about 300,000 kilometers/second.

Drop an object from a height of 10 meters on earth and we can predict that it will reach the ground in 1.43 seconds traveling at 14 meters/second at impact. We can build models that predict such things with great accuracy.

Economics, however, is a social science, not a physical science. Finances can be modeled mathematically but actual outcomes are highly dependent upon the behavior of the humans involved. That makes the models far less predictive.

Unlike the universal laws of physics, the inputs for financial models are often unknown, so we make our best guesses. The most important factor of retirement finance, how long you and your spouse will live, is largely unknowable. Half of a group of people like you may live another 18 years but you might live twice that long or get hit by a bus tomorrow.

We know that stock markets have returned about 9% a year over the past 150 years but you won't be retired for 150 years. The geometric rate of market return you would have historically experienced over any single 30-year retirement during those 150 years could have been less than 3% per year or more than 10%, depending on the year you retired. The range of returns is broader for shorter periods.


Black Holes, the Higgs Boson and Retirement Planning.
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Retirement models, whether mathematical, spreadsheet, or Monte Carlo simulation, can't predict the future the way models do in the physical sciences. Monte Carlo simulation was developed for the Manhattan project and was accurate enough to help develop the atomic bomb when the world had minuscule computing power. MC could predict how atoms would behave but it can't predict your retirement finances.

In 2001, William Bernstein published a blog post entitled, "Of Math and History" noting that "it’s the engineers who most often give me the willies."[2]
"The trouble is, markets are not circuits, airfoils, or bridges—they do not react the same way each time to a given input. (To say nothing of the fact that inputs are never even nearly the same.) The market, though, does have a memory, albeit a highly defective kind, as we’ll see shortly. Its response to given circumstances tends to be modified by its most recent behavior. An investment strategy based solely on historical data is a prescription for disaster."
(It's a great read, by the way, as is just about everything at EfficientFrontier.com.)

There is huge risk in believing that we can accurately predict our financial future, market risk or returns, a safe amount to spend annually from our savings portfolio, our optimal asset allocation, our probability of successfully funding retirement, or any such metric with any degree of accuracy for any period beyond perhaps a couple of years, let alone for a retirement that could last 30 to 40 years.

I recently told an audience at a retirement finance conference that the greatest risk of retirement is overconfidence. Believing you can accurately predict the things in the previous paragraph is a prime example.

You might rightly ask, given my perspective of uncertainty, why I spend much of my retirement days building simulation models. The answer is that I don't use the models to predict probability of ruin or to predict anything, for that matter. I use them to study many possible outcomes for hints for improving my retirement plan. I readily admit that I have no idea which simulated scenario, if any, ultimately will be similar to mine. I just want to find the bad outcomes and say, "Whoa! How can I avoid those?"

I was once asked what I think is wrong with spreadsheet models of retirement. My answer is that they only consider a single possible scenario and not a realistic one, at that. It is highly unlikely that you will live precisely 30 years in retirement, for example, and there is an infinitesimal probability that your market returns or expenses will be the same each of those years.

(You could run a spreadsheet model several times with different assumptions, of course, but you can generate tens of thousands of different scenarios in a few seconds with MC.)

The tools we use in the physical sciences can be useful in social sciences like economics but they cannot be as predictive because people, unlike atoms, are unpredictable. Computerized retirement models can look impressive when a computer spits out thirty pages of Monte Carlo simulated data but less so when one considers the huge assumptions that have been input into the program. Computers and simulation cannot remove risk from your retirement but they can help identify and understand it.

In an earlier post, I suggested that the most important retirement decision you will make is how much of your wealth to allocate to safer income assets and how much to risk in the market. Don't be overconfident in your ability to predict the risk and returns of the latter. Have a backup plan (a floor of safe income) in case of portfolio failure. Retirement models are simply the best estimates we can make of a largely unknowable future.

And, if someone tells you that you will die with $5.3M in your investment portfolio or that you can spend 4.27% of your portfolio balance annually with a 95% probability of not outliving your savings for at least 30 years, consider that with a large dollop of skepticism.

Remember when you're considering your retirement plan that all models are wrong but some are useful.



Zvi Bodie explains "America's best-kept secret", I bonds for inflation protection.


The American College of Financial Services has created a wonderful collection of brief video interviews with Rick Miller on topics of personal financial planning.


REFERENCES

[1] Who Really Discovered Black Holes?, BBC Science Focus Magazine.



[2] Of Math and History, William Bernstein.





Thursday, April 4, 2019

The Mystery Of Dividend Preference And The 'Spend Dividends Only' Strategy

A good many retirees seem to be enamored with the "Spend Interest and Dividends Only" strategy for spending down their retirement savings. The foundation of this strategy is a preference for the value of a dollar generated from dividends over the value of a dollar generated from the sale of stock, or capital gains.

This preference has long been recognized but never quite understood.

The reason for this preference for dividends is so confounding that economists in the field of behavioral finance find it an interesting research topic. One of those researchers is Samuel Hartzmark, an Associate Professor of Finance at the University of Chicago's Booth School of Business.

Hartzmark thinks dividends fall under the category of mental accounting. He describes a "free dividend fallacy", in which investors view dividends as a source of return that is independent of the price of the stock when in reality the price of the stock is immediately reduced by the value of the dividend when it is paid. This fosters the mistaken belief that dividends are the same as bond interest.


Samuel Hartzmark describes a "free dividend fallacy" in which investors view dividends as a source of return that is independent of the price of the stock.
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This false equivalence of bond interest and dividends probably influences some investors to turn to high-dividend stocks when bond interest is low without considering the additional risk that equities bring. They are not the same, of course. When a $10,000 bond pays out $300 in interest, the bondholder is still owed $10,000 in principal at the bond's maturity date. When $10,000 of stock pays out $300 in dividends, the value of the remaining stock immediately drops to $9,700 at payout. Unlike bonds, there is no "maturity date" or any promise of the stock's value at some future date.

In fact, there are tax advantages to generating income with capital gains in a taxable account, despite the fact that qualified dividends and capital gains are currently taxed at the same rate. The investor can postpone capital gains tax until the funds are actually needed whereas a cash dividend (the most common type) will be immediately taxable when the company decides to issue it. An added bonus of capital gains is the ability to minimize taxes by selling specific lots.

In a post entitled, "Buffett: You Want a Dividend? Go Make Your Own,"[1] Motley Fool describes Warren Buffett's explanation for Berkshire Hathaway's refusal to pay dividends and how it is actually more efficient for both Berkshire and their shareholders if shareholders "create their own dividends" by selling shares.

In "Vanguard Debunks Dividend Myth"[2], financial researcher Larry Swedroe notes,
"But this preference isn’t entirely new; it has long been known many investors have a preference for cash dividends. From the perspective of classical financial theory, this behavior is an anomaly. It’s an anomaly because dividend policy should be irrelevant to stock returns, as Merton Miller and Franco Modigliani famously established in their 1961 paper 'Dividend Policy, Growth, and the Valuation of Shares.'"
Swedroe further notes that concentrating on dividend-producing stocks reduces diversification benefits. Concentrating is a key word here because adding some dividend-producing stocks to a portfolio can increase diversification. Said differently, there is nothing wrong with dividend-producing stocks but investing in only those stocks can be hazardous to your portfolio's health. As is often the case, too much of a good thing is too much.

Swedroe concludes that "both theory and historical evidence demonstrate there isn’t anything unique about dividends."

Strategies have been proposed to eliminate sequence of returns risk with high-dividend stocks. This wouldn't have occurred to me because sequence risk is caused by systematically selling stocks when prices are low. Cash dividends don't avoid sales at low prices; they are effectively a forced sale that will occur regardless of the stock's price and with timing decided by the company.

A recent series of three posts at the EarlyRetirementNow blog entitled "The Yield Illusion: How Can a High-Dividend Portfolio Exacerbate Sequence Risk?,"[3] shows that a high dividend yielding portfolio doesn't mitigate sequence risk and can, in fact, exacerbate it.

As always, the bottom line is what a retiree should do with this knowledge. My advising philosophy is that so long as a household understands a strategy and its alternatives, they should do what makes them comfortable.

I once had a client say, "I know I am behaving irrationally but this is what I am most comfortable doing." I don't know how I can argue with that or even if I should. As Michael Finke says, our job as advisors is to make clients happy.

Furthermore, there is no way to prove that even a poor strategy won't turn out well or a good one poorly for an individual household. We can only say what is probably a good or poor bet.

But, if you plan to spend down retirement savings with a strategy based on preferring a dollar of dividends to a dollar of capital gains, you are betting against economic theory, portfolio theory, historical evidence, tax law, behavioral finance and the wisdom of Warren Buffett.

Then again, maybe you will be lucky.



REFERENCES

[1] Buffett: You Want a Dividend? Go Make Your Own, Motley Fool.



[2] Vanguard Debunks Dividend Myth, Larry Swedroe.



[3]  The Yield Illusion: How Can a High-Dividend Portfolio Exacerbate Sequence Risk?, EarlyRetirementNow blog.