The winner's curse is a concept that was first discussed in the literature by three Atlantic Richfield engineers, Capen, Clapp, and Campbell (1971). The idea is simple. Suppose many oil companies are interested in purchasing the drilling rights to a particular parcel of land. Let's assume that the rights are worth the same amount to all bidders, that is, the auction is what is called a common value auction. Further, suppose that each bidding firm obtains an estimate of the value of the rights from its experts. Assume that the estimates are unbiased, so the mean of the estimates is equal to the common value of the tract. What is likely to happen in the auction? Given the difficulty of estimating the amount of oil in a given location, the estimates of the experts will vary substantially, some far too high and some too low. Even if companies bid somewhat less than the estimate their expert provided, the firms whose experts provided high estimates will tend to bid more than the firms whose experts guessed lower... If this happens, the winner of the auction is likely to be a loser.
The story of the oil crisis is still being written, but it seems clear that BP underestimated the risk of an accident. Tony Hayward, its C.E.O., called this kind of event a “one-in-a-million chance.” And while there is no way to know for sure, of course, whether BP was just extraordinarily unlucky, there is much evidence that people in general are not good at estimating the true chances of rare events, especially when human error may be involved.
Don’t get me wrong: I like behavioral economics as much as the next guy. It’s quite clear that people are irrational in ways that the neoclassical model assumes away... But I don’t think cognitive fallacies are the answer to everything, and I don’t think you can explain away the myriad crises of our time as the result of them.
Update (6/20). In a response to this post, Brad DeLong makes two points. First, he observes that those who underestimate tail risk can make unusually high profits not just in the interim period before a catastrophic event occurs, but also if one averages across good and bad realizations:
To the extent that the optimism of noise traders leads them to hold larger average positions in assets that possess systemic risk, their average returns will be higher in a risk-averse world--not just in those states of the world in which the catastrophe has not happened yet, but quite possibly averaged over all states of the world including catastrophic states.This is logically correct, for reasons that were discussed at length in Brad's 1990 JPE paper with Shleifer, Summers and Waldmann. But (as I noted in my comment on his post) I don't think the argument applies to the risks taken by BP and AIG, which could easily have proved fatal to the firms. One could try to make the case that even with bankruptcy, the cumulative dividend payouts would have resulted in higher returns than less exposed competitors, but the claim seems empirically dubious to me.
Brad's second point is that my distinction between the ecological and psychological approaches is unwarranted, and that the two are in fact complementary. Here he quotes Charles Kindleberger:
Overestimation of profits comes from euphoria, affects firms engaged in the production and distributive processes, and requires no explanation. Excessive gearing arises from cash requirements that are low relative both to the prevailing price of a good or asset and to possible changes in its price. It means buying on margin, or by installments, under circumstances in which one can sell the asset and transfer with it the obligation to make future payments. As firms or households see others making profits from speculative purchases and resales, they tend to follow: "Monkey see, monkey do." In my talks about financial crisis over the last decades, I have polished one line that always gets a nervous laugh: "There is nothing so disturbing to one’s well-being and judgment as to see a friend get rich."