“Stocks, although suffering from inflation in the short term, protect against it in the long term.” – William Bernstein
Last week a reader sent me a passage from Nassim Taleb’s book, Antifragile, and asked me what I thought about it in the context of low probability events. Specifically, this reader was worried about hyperinflation.
Here’s some of what Taleb had to say in the book:
Economic models are extremely fragile to assumptions, in the sense that a slight alteration in these assumptions can, as we will see, lead to extremely consequential differences in the results. And, to make matters worse, many of these models are “back-fit” to assumptions, in the sense that the hypotheses are selected to make the math work, which makes them ultrafragile and ultrafragilizing.
Note one fallacy promoted by Markowitz users: portfolio theory entices people to diversify, hence it is better than nothing. Wrong, you finance fools: it pushes them to optimize, hence overallocate. It does not drive people to take less risk based on diversification, but causes them to take more open positions owing to perception of offsetting statistical properties — making them vulnerable to model error, and especially vulnerable to the underestimation of tail events.
I actually agree with much of what he’s saying here. Far too many people in the world of finance put complete faith into their models without acknowledging that a small change to a single variable can have a large impact on the estimated outcome. There is also far too much data-mining that goes on with an extreme hindsight bias.
But you have to be careful about planning for low probability events such as hyperinflation. Yes, it’s tempting to assume the magnitude of the outcome could be huge if you’re right, but you have to ask yourself how long you’ll be waiting for a fat tail event to hit.
After John Paulson nailed the subprime mortgage trade everyone was looking for opportunities with very little downside, but huge upside. This is the Babe Ruth Effect which states that it doesn’t matter how many times you’re right, but how big the payoff is when you are (The Babe stuck out a lot but hit plenty of home runs when he made contact).
The problem is that although these fat tail events seem to happen much more often than the economists and statisticians would predict, they’re always different.
So if you’re betting on a specific fat tail risk, such as hyperinflation, you better have a good reason for it because it’s a very low probability event and the payoff isn’t as much of a sure-thing as you might think. And even though there’s been a chorus of Fed-haters calling for hyperinflation since QE began, inflation has stayed subdued for a number of years now.
William Bernstein covers hyperinflation in his book, Deep Risk: How History Informs Portfolio Design, as one of the four deep risks investors face (the others are deflation, confiscation by the government and war):
Severe, prolonged hyperinflation damages both stocks and bonds, more so bonds, which may see a total loss. Examples: Weimar Germany, post-WWII Hungary, current day Zimbabwe. Solution: wide diversification among international markets, a tilt towards value stocks and the stocks of commodity-producing companies. Gold bullion, inflation-protected securities and annuities, Social Security payments, fixed-rate mortgages.
The thing is, for this to occur and really have an impact we would probably need to see global hyperinflation, not just here in the U.S. Which would basically be Armageddon. It probably wouldn’t matter what you invested in. You might as well buy canned food with some guns and ammo. We’d all be screwed anyways.
Bernstein actually does recommend a small amount of precious metals equities in a portfolio to hedge out an inflation shock like we experienced during the 1970s.
While this sounds good in theory, I think investors have to be careful about trying to hedge too many risks. Adding a little bit of gold or maybe a small allocation to a bear market fund sounds like a good idea in the event of a blow-up. But putting something like 2-3% of your portfolio in a hedge, as some advise, isn’t going to help you at all since the majority of your portfolio will still be subject to the whims of the market.
It almost comes down to go big or go home if you’re going to make that kind of bet. Otherwise it’s more or less a waste of an allocation in your portfolio. Diversification is a good thing, but over-diversification can cancel out some of the benefits. Trying to hedge every possible situation can lead to sub-optimal performance. You need to take some risk to make money in the markets.
Even though any fat tail event is always a possibility I still think it’s better for investors to focus on what is probable, not everything that’s possible. Anything can happen, but what normally happens? You can’t be a contrarian for the sake of being a contrarian at all times. It only works at the inflection points.
And the next fat tail crash won’t come from something everyone is talking about. A black swan is something that comes as a surprise, so it’s very difficult to position for it ahead of time.
Sources:
Antifragile
Deep Risk
Further Reading:
Yes, Size Matters
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Ben, I’m a long time reader but first time commentator. I was really impressed by Taleb’s writing in Fooled by Randomness, Black Swan and Antifragile and my take on risk definitely involves many of his ideas. But as time went by and I digested his message watching my and other people’s portfolios in the real world I found it more and more of an overkill.
I think it’s easy to misinterpret and misapply his views on fat tail risk. In my opinion there is a gigantic difference between being ignorant of low-probability, large-scale, devastating events and placing large bets on such events. Trying to predict and time them is pretty much trying to find a needle in a haystack at will. In the end black swans are rare, unpredictable and hard to understand until after the fact so to my mind betting too much on them is a waste of time most of the time. What makes sense to most investors is to keep it in mind that black swans do happen and possibly hedge/insure against catastrophic losses. But not build the whole portfolio around outliers.
BTW. In my opinion the largest (so far positive) black swan since 2009 has been QE across the developed world. It pretty much meets all criteria set out in Taleb’s book. It’s rare (unprecedented), extremely consequential and poorly understood/misunderstood by many investors.
This is very well put. I think risk is one of the most misunderstood concepts in investing. I agree with you on just having an open mind on these things. So many people were almost unaware that we could have such a crash like we had in ’08.
I actually said to someone recently that most people don’t realize that there are two tails on any distribution and the recent bull mkt it on the right one. Big outlier moves happen in both directions.
Taleb definitely has some of the most unique ideas in all of finance and I do recommend his books to investors.
I think I can explain how hyperinflation works. This article explains positive feedback phenomenon and then at the end is a link to explanations of hyperinflation in different theories as a positive feedback phenomenon:
http://www.howfiatdies.blogspot.com/2014/08/positive-feedback-theory-of.html
Ben, today’s is an excellent column that is right on the mark. Investors sometimes substantially over hedge for events that are very unlikely to happen, and obtain substantially subpar returns as a result.
With respect to volatility, I tell fellow investors that I love volatility, because it is a two edged sword that helps more than it hurts, since the market is, over time, more volatile to the upside than the downside (hence the market has an upward trend over long time periods). When volatility is to the upside I can tell myself how smart I am to be increasing my wealth, and when it is to the downside, I can invest any dry powder I have into the market and tell myself how smart I am to be buying low, while living off of my bond and CD ladder.
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