This study analyzes various measures of the downside beta of stocks. Downside beta is sometimes defined and estimated in different ways. Theoretically, an approach based on the mean-semi-variance equilibrium model appears superior. Two known alternative approaches are not consistent with the...

This study compares the single-factor CAPM with the Fama and French three-factor model and the Carhart four-factor model using a broad cross-section and long time-series of US stock portfolios and controlling for market capitalization. Confirming known results, multiple factors help for value...

The mean-semivariance CAPM better explains the cross-section of US stock returns than the traditional mean-variance CAPM does. If regular beta is replaced by downside beta, the cross-sectional risk-return relationship improves considerably. Especially during bad-states of the world, when the...

This study conducts a classroom experiment and an online experiment to examine individual decision-making under risk. Like Levy and Levy (2002), the experiment uses pairs of mixed gambles with moderate probabilities to avoid the framing effect and certainty affect that may affect non-mixed...

Downside risk, when properly defined and estimated, helps to explain the cross-section of US stock returns. Sorting stocks by a proper estimate of downside market beta leads to a substantially larger cross-sectional spread in average returns than sorting on regular market beta. This result...

Empirically, co-skewness of asset returns seems to explain a substantial part of the cross-sectional variation of mean return not explained by beta. Thisfinding is typically interpreted in terms of a risk averse representativeinvestor with a cubic utility function. This comment questions...