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The 1987 market crash highlighted a critical flaw in the Black-Scholes options pricing model: it assumes a world without large, sudden crashes. This intellectual gap spurred Jean-Philippe Bouchaud to move into finance and develop new quantitative models that could account for these real-world "jumps."
Financial crises are rarely caused by risks everyone is watching, like inflation (known knowns). The true danger comes from unforeseen events (unknown unknowns) like 9/11 or the Lehman collapse, which aren't priced into risk models and cause systemic panic.
Like a false warning in a coal mine causing a deadly stampede, the market's collective overreaction and rush for the exits is often the real source of damage, amplifying a minor shock into a major crisis. The panic itself is the poison.
The primary driver of market fluctuations is the dramatic shift in attitudes toward risk. In good times, investors become risk-tolerant and chase gains ('Risk is my friend'). In bad times, risk aversion dominates ('Get me out at any price'). This emotional pendulum causes security prices to fluctuate far more than their underlying intrinsic values.
When an asset sees a massive price surge, it's effectively a "price compression" that pulls years of expected returns into a short period. This raises the probability of future volatility or stagnant performance, as the future gains have already been realized.
Conventional definitions of risk, like volatility, are flawed. True risk is an event you did not anticipate that forces you to abandon your strategy at a bad time. Foreseeable events, like a 50% market crash, are not risks but rather expected parts of the market cycle that a robust strategy should be built to withstand.
Contrary to popular belief, the 1929 crash wasn't an instantaneous event. It took a full year for public confidence to erode and for the new reality to set in. This illustrates that markets can absorb financial shocks, but they cannot withstand a sustained, spiraling loss of confidence.
Physicist Jean-Philippe Bouchaud applies concepts from theoretical physics, like granular media, to finance. He views markets as complex systems where a small event, like a single grain of sand, can trigger a massive, unpredictable "avalanche" or market crash, a core idea behind CFM's quantitative models.
Today's market is dominated by centralized asset management and systematic flows, making it a "giant derivatives trade." Price action is driven more by positioning warfare and reflexive volatility from options than by traditional fundamental analysis, creating extreme and rapid price swings.
Contrary to the idea that mature markets become more efficient and normal, they may actually become stranger. As algorithms and optimal strategies dominate, market behavior can diverge from historical norms, much like how basketball strategy evolved to favor only three-pointers and layups, eliminating the mid-range game.
On the Tuesday after Black Monday 1987, with the financial system near collapse, the market's rebound was sparked by a sudden buying wave in MMI futures. This flipped them from a discount to a premium, activating arbitrage traders who injected crucial liquidity. It shows market bottoms can be unpredictable and initiated by seemingly minor events.