MICHAEL S. HAIGH and JOHN A. LIST (2005) “Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis." Journal of Finance, Volume 60, Issue 1, pages 523–534, February 2005. DOI: 10.1111/j.1540-6261.2005.00737.x; iastate.edu 提供的 [PDF];
Two behavioral concepts, loss aversion and mental accounting, have been combined to provide a theoretical explanation of the equity premium puzzle. Recent experimental evidence supports the theory, as students’ behavior has been found to be consistent with myopic loss aversion (MLA). Yet, much like certain anomalies in the realm of riskless decision-making, these behavioral tendencies may be attenuated among professionals. Using traders recruited from the CBOT, we do indeed find behavioral differences between professionals and students, but rather than discovering that the anomaly is muted, we find that traders exhibit behavior consistent with MLA to a greater extent than students.
Shlomo Benartzi and Richard H. Thaler (1995) “Myopic Loss Aversion and the Equity Premium Puzzle.” Quarterly Journal of Economics, Vol. 110, No. 1 (Feb., 1995), pp. 73-92. ; doi: 10.2307/2118511 ;nyu.edu 提供的 [PDF]
==notes by yinung==
Prospect theory, myopic loss aversion (MLA) 和 equity premium puzzle 的重要文獻
The equity premium puzzle refers to the empirical fact that stocks have outperformed bonds over the last century by a surprisingly large margin. We offer a new explanation based on two behavioral concepts. First, investors are assumed to be “loss averse,” meaning that they are distinctly more sensitive to losses than to gains. Second, even long-term investors are assumed to evaluate their portfolios frequently. We dub this combination “myopic loss aversion.” Using simulations, we find that the size of the equity premium is consistent with the previously estimated parameters of prospect theory if investors evaluate their portfolios annually.
Thomas E. Copeland and Daniel Friedman “Partial Revelation of Information in Experimental Asset Markets." Journal of Finance, Vol. 46, No. 1 (Mar., 1991), pp. 265-295.
We develop a model of market efficiency assuming private information is partially revealed to uninformed traders via the behavior of those who are informed. This partial revelation of information (PRE) model is tested in fourteen computerized double auction laboratory markets. It explains the market value and allocation of purchased information, and asset allocations, better than either a fully revealing information model (FRE strong-form efficiency) or a nonrevealing expectations model; but it takes second place to FRE in explaining asset prices. We conjecture that refined versions of PRE may provide insight into “technical analysis" and minibubbles in securities markets.