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How can a drop in the stock market possibly be good for investors?

I hope everybody checked out the ChooseFI Roundup episode in early January, where I talked with Jonathan and Brad about the recent stock market volatility. They invited me for a short appearance on their Friday show after reading my piece from two weeks ago. That post was on how the recent stock market volatility will probably not obliterate the FIRE community. One issue that came up is the potential for people on their FIRE path to actually benefit (!) from the drop in the stock market. How can one possibly benefit from a drop in the stock market? It’s certainly not a guarantee. It depends on the personal circumstances and on the nature of the stock market drop! Generally speaking:

So, in other words, if the loss in your existing portfolio is offset by enough of a rise in future expected returns, then a drop in the stock market can be a net positive. Seems pretty obvious from a qualitative point of view. But quantitatively? How early is early along the FIRE journey? How much of a rise in expected returns do we need to make this work? Even if there isn’t a net benefit, how much of the paper loss is at least cushioned by higher future returns? These are all inherently quantitative questions. This blog post is an attempt to shine some light on the math behind the tradeoffs…

Permanent vs. Transitory

It all depends on how the stock market drop impacts our portfolio return assumptions going forward! Let’s look at the small numerical example. Assume you had expected your portfolio (currently at 100) to grow by 5% p.a. (after inflation) for the next 10 years. But then, BOOM, you get hit by a 30% drop in your portfolio. What happens after that?

5% p.a. return without a drop vs. with a drop and varying degrees of permanent vs. transitory.

Let’s look at the different options in more detail:

Extreme 1: The shock is 100% permanent

There are a bunch of different scenarios that would certainly make the loss permanent:

Extreme 2: The shock is 100% transitory

How is it possible for the portfolio to perfectly recover and reach the exact same final value after 10 years? There are clearly a few possibilities:

Everything in between

As always, reality will be somewhere in between. I seriously doubt that the average bear market will be 100% permanent but, likewise, I don’t think that one can bank on the full convergence back to the old trend growth path. Let’s take a look at the two most recent bear markets. In the chart below, I plot the real inflation-adjusted S&P500 index (dividends reinvested) since 2000. I also add four “trend return” lines starting at the peaks and troughs of the 2000-2002 and 2007-2009 bear markets. As a trend return, I use 6% which is a little bit lower than the very, very long-term average of 6.7% but considering how tumultuous the 2000s were, let’s round that number down to 6%.

Real, CPI-adjusted S&P500 total return (dividends reinvested) since 12/31/1999. I also marked the 2000-2002 and 2007-2009 peaks and troughs and how the index would have performed with an assumed 6% p.a. trend return.

In any case, notice something?

Valuation/Mean-Reversion

What’s could explain the difference between those two different bear markets? Valuation of course. In 2000, price-earnings ratios were at record levels (Shiller CAPE at 40+) and nobody should be surprised that returns will be less generous going forward. In contrast, at the October 2007 peak before the Great Recession, valuations weren’t cheap but at least they weren’t as outrageous as during the dot-com bubble. More generally, there is a strong correlation between earnings yields and future returns, see the chart below. It plots the Shiller CAPE yield (=1/CAPE) on the x-axis versus the 10-year forward return in the S&P500 (dividends reinvested, adjusted for CPI). On average, a 1 percentage point higher earnings yield has “returned” an extra 1% p.a. S&P500 return over the next 10 years. So, if the S&P drops by 25% and the CAPE ratio falls from 33.33 (=3% CAPE yield) to 25 (=4% CAPE yield) then one could expect a roughly 1% higher return for the next 10 years. That doesn’t completely get you back to where you started but you recover some of that loss; about half of it over 10 years.

10-year ahead real total stock returns correlate with initial stock valuation (CAPE yield = 1/Shiller-CAPE)!

Also, just out of curiosity, over what horizon does the CAPE yield correlate best with future returns? Not surprisingly, the correlations between current CAPE yield and future returns become higher the longer the horizon. Quite amazingly, the correlations level off only when we reach 20-year return windows, see below. Anyone who wants evidence that the stock market is not a mathematical random walk please take a look at those correlations! And check out more evidence in my post from last year!

Correlations are highest over longer horizons!

A Numerical Example

So what does this all mean for investors? Let’s look at a very generic example. It’s intentionally generic and not necessarily trying to replicate what exactly happened in the fourth quarter of 2018. Let’s look at the damage a 30% drop in your portfolio would do for a bunch of different scenarios: a) people at different stages of their FIRE path and b) different degrees of permanence vs. transitoriness.

Our generic investor starts with zero assets in year 0 and invests $5,000 per month (adjusted for inflation). He/She plans for a 5% p.a. portfolio return (after inflation) and saves for 180 months (15 years), so without any market crash in between the path of the (real CPI-adjusted) portfolio is as in the table below. After 15 years the portfolio is large enough to sustain a $4,432 monthly withdrawal under the 4% Rule of Thumb. And I know about the limitations of the 4% Rule, so don’t make me go there 🙂 !!! In any case, that’s is a nice enough retirement budget. So, let’s assume that our investor will retire after 15 years of accumulating assets.

Evolution of the portfolio value when saving $5,000 per month at 5% p.a. return. After 15 years one could retire and withdraw $4,432 per month under the 4% Rule of Thumb.

How do we model the sequence risk? Let’s assume that at each of the 16 stages of preparing for FIRE we check the impact of a 30% drop in the portfolio value plus a subsequent trend return path of either 5%, 5.94%, 6.89%, 7.85%, and 8.81%, corresponding to the 5 different assumptions about permanence vs. transitoriness. How does the portfolio value 10 years down the road compare with the one without the crash and with constant 5% returns? So, for the 16×5=80 different combinations, what’s the percentage benefit (positive or negative) of the crash?

Example: You’ve saved for 9 years on your path to FIRE (=6 years before FIRE). Your portfolio of $679,378 takes a hit of 30%, but you keep saving your monthly $5,000 for 6 more years and then retire and withdraw the $4,432 as initially planned. How much money will you have exactly 10 years after the crash (after 6 more years of accumulation and 4 years of withdrawals)? Assuming the shock was 50% permanent, 50% transitory (6.89% returns for 10 years), the final portfolio value is $1,260,781. That’s about 9% lower than without the crash and 5% returns ($1,380,660). So, the rows correspond to the different stages of FIRE (15 years to retirement all the way reaching FIRE) and the columns for how permanent vs. transitory the crash was: all the way between 100% permanent to 100% transitory in 25 percentage point steps. At 6 years to retirement and 50%/50% permanent/transitory, we find that exact -9% number we calculated in the example above.

10 years after the crash: Final portfolio value relative to the baseline (no 30% drop and 5% return).

The key results from this table:

Conclusions

Others have written about this topic. But I think they have done so only very superficially. Here are two examples:

Wall Street Physician quite correctly points out that most crashes are certainly not 100% mean-reverting. But just because a crash is not perfectly mean-reverting doesn’t imply that it has to be 100% permanent all the time. It’s a false dilemma fallacy! The stock market is not a perfect random walk (see my post from last year) and consequently, one should certainly raise return expectations after a big stock market drop.

We’re all at different stages on our FIRE path and the average crash is somewhere between 100% permanent and 100% transitory. The pros and cons are a lot more complicated than the three “obvious” corners covered in the “analysis” you see out there in the personal finance blogosphere (see the chart below)! The pros and cons depend on how permanent/transitory the crash is and where you are on your FIRE path.

So much for today! I hope you enjoyed today’s post. Please leave your comments and suggestions below!

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