Expected utility theory, a predominant framework for modeling decision making under risk,
typically assumes that agents make rational choices, evaluate wealth according to final asset
positions and evaluate probability objectively. However, substantial experimental evidences
have indicated that agents fail to follow the assumptions of expected utility theory. In fact,
they violate risk preference assumptions when facing uncertainties. As a consequence,
alternative models have been developed by behavioral finance researchers.
The field of behavioral finance is very relevant for better studying and understanding
human judgment. Behavioral models like Prospect Theory (PT), developed by Kahneman
and Tversky (1979), infuse a more realistic assumption of investor behavior. In 1992, Tversky
and Kahneman extended the PT framework and developed a new version of PT called
Cumulative Prospect Theory (CPT).
PT arguments have been increasingly used to explain a range of anomalies observed in
financial markets like the disposition effect, momentum (Menkhoff and Schmeling, 2006),
excess of volatility, stock return predictability, and the trading behavior. More specifically,
CPT has an important impact on empirical researches of the equity premium puzzle.
The equity premium which is defined as the return on the stock less the return on the
risk-free asset is an observable phenomenon in the US. Mehra and Prescott (1985) show a
high equity premium in US. The degree of risk aversion necessary to explain this premium is
very high compared to the experimental evidence. Thus, the equity premium puzzle has
simulated an extensive research effort in behavioral finance (Han and Hsu, 2004).
Benartzi and Thaler (1995) propose an explanation of this puzzle based on two behavioral
concepts: loss aversion and mental accounting. They dub this combination as Myopic Loss
Aversion (MLA). Loss aversion specifies that individuals are more sensitive to losses than to
gains. Mental accounting (Kahneman and Tversky, 1984; and Thaler, 1985) specifies that
individuals employ implicit methods to code and evaluate financial outcomes.
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