Mandelbrot (and Hudson’s) The (mis)Behaviour of Markets: A Fractal View of Risk, Ruin, and Reward

mandelbrotIf you have read Nassim Taleb’s The Black Swan you will have come across some of Benoit Mandelbrot’s ideas. However, Mandelbrot and Hudson’s The (mis)Behaviour of Markets: A Fractal View of Risk, Ruin, and Reward offers a much clearer critique of the underpinnings of modern financial theory (there are many parts of The Black Swan where I’m still not sure I understand what Taleb is saying). Mandelbrot describes and pulls apart the contributions of Markowitz, Sharpe, Black, Scholes and friends in a way likely understandable to the intelligent lay reader. I expect that might flow from science journalist Richard Hudson’s involvement in writing the book.

Mandelbrot’s critique rests on two main pillars. The first is that – seemingly stating the obvious – markets are risky. Less obviously, Mandelbrot’s point is that market changes are more violent than often assumed. Second, trouble runs in streaks.

While Mandelbrot’s critique is compelling, it’s much harder to construct plausible alternatives. Mandelbrot offers two new metrics – α (a measure of how wildly prices vary) and H (a measure of the dependence of price changes upon past changes) – but as he notes, the method used to calculate each can result in wild variation in those measures themselves. On H, he states that “If you look across all the studies to date, you find a perplexing range of H values and no clear pattern among them.”

I’ll close this short note with a brief excerpt from near the end of the book painting a picture of what it is like to live in the world Mandelbrot describes (which just happens to be our world):

What does it feel like, to live through a fractal market? To explain, I like to put it in terms of a parable:

Once upon a time, there was a country called the Land of Ten Thousand Lakes. Its first and largest lake was a veritable sea 1,600 miles wide. The next biggest lake was 919 miles across; the third, 614; and so on down to the last and smallest at one mile across. An esteemed mathematician for the government, the Kingdom of Inference and Probable Value, noticed that the diameters scaled downwards according to a tidy, power-law formula.

Now, just beyond this peculiar land lay the Foggy Bottoms, a largely uninhabited country shrouded in dense, confusing mists and fogs through which one could barely see a mile. The Kingdom resolved to chart its neighbour; and so the surveyors and cartographers set out. Soon, they arrived at a lake. The mists barred their sight of the far shore. How broad was it? Before embarking on it, should they provision for a day or a month? Like most people, they worked out what they knew: They assumed this new land was much like their own and that the size of lakes followed the same distribution. So, as they set off blindly in their boats, they assumed they had at least a mile to go and, on average, five miles.

But they rowed and rowed and found no shore. Five miles passed, and they recalculated the odds of how far they had to travel. Again, the probability suggested: five miles to go. So they rowed further – and still no shore in sight. they despaired. Had they embarked upon a sea, without enough provisions for the journey? Had the spirits of these fogs moved the shore?

An odd story, but one with a familiar ring, perhaps, to a professional stock trader. Consider: The lake diameters vary according to a power law, from largest to smallest. Once you have crossed five miles of water, odds are you have another five to go. If you are still afloat after ten miles, the odds remain the same: another ten miles to go. And so on. Of course, you will hit shore at some point; yet at any moment, the probability is stretched but otherwise unchanged.

One comment

  1. Mandelbrot was pretty convincing about the fractal behavior of markets, but I was disappointed that he didn’t offer any hypotheses about why this might be so. I presume that he’d say that he’s just a mathematician, and that causal explanations need to come from economists and psychologists. One guess might be positive feedback processes such as the “bandwagon effect” or what traders call “momentum”. I’d hate to think that technical analysts are more right than fundamentalists, but there’s in fact some evidence that they are e.g. J. Bradford De Long, Andrei Shleifer, Lawrence H. Summers, and Robert J. Waldmann (1990), “Noise Trader Risk in Financial Markets,” Journal of Political Economy.
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