Limits to Arbitrage
Behavioral biases would not matter for stock pricing if rational arbitrageurs could fully
exploit the mistakes of behavioral investors. Trades of profit-seeking investors would cor-
rect any misalignment of prices. However, behavioral advocates argue that in practice,
several factors limit the ability to profit from mispricing.
14
Fundamental Risk
Suppose that a share of IBM is underpriced. Buying it may pre-
sent a profit opportunity, but it is hardly risk-free, because the presumed market under-
pricing can get worse. While price eventually should converge to intrinsic value, this may
not happen until after the trader’s investment horizon. For example, the investor may be
a mutual fund manager who may lose clients (not to mention a job!) if short-term per-
formance is poor, or a trader who may run through her capital if the market turns against
her, even temporarily. A comment often attributed to the famous economist John Maynard
Keynes is that “markets can remain irrational longer than you can remain solvent.” The
fundamental risk incurred in exploiting apparent profit opportunities presumably will
limit the activity of traders.
13
J. D. Coval and T. Shumway, “Do Behavioral Biases Affect Prices?” Journal of Finance 60 (February 2005),
pp. 1–34.
14
Some of the more influential references on limits to arbitrage are J. B. DeLong, A. Schleifer, L. Summers,
and R. Waldmann, “Noise Trader Risk in Financial Markets,” Journal of Political Economy 98 (August 1990),
pp. 704–38; and A. Schleifer and R. Vishny, “The Limits of Arbitrage,” Journal of Finance 52 (March 1997),
pp. 35–55.
In mid-2012, the NASDAQ index fluctuated at a level around 2,900. From that perspec-
tive, the value the index had reached in 2000, around 5,000, seemed obviously crazy.
Surely some investors living through the Internet “bubble” of the late 1990s must have
identified the index as grossly overvalued, suggesting a good selling opportunity. But
this hardly would have been a riskless arbitrage opportunity. Consider that NASDAQ
may also have been overvalued in 1999 when it first crossed above 3,500 (20% higher
than its value in 2012). An investor in 1999 who believed (as it turns out, quite correctly)
that NASDAQ was overvalued at 3,500 and decided to sell it short would have suffered
enormous losses as the index increased by another 1,500 points before finally peaking
at 5,000. While the investor might have derived considerable satisfaction at eventually
being proven right about the overpricing, by entering a year before the market “cor-
rected,” he might also have gone broke.
Example 12.2
Fundamental Risk
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