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...

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...

The value premium substantially reduces for downside risk averse investors with a substantial fixed income exposure, such as insurance companies and pension funds. Growth stocks are attractive to these investors because they offer a good hedge against a bad bond performance. This result holds...

The mean-semivariance CAPM strongly outperforms the traditional mean-variance CAPM in terms of its ability to explain the cross-section of US stock returns. If regular beta is replaced by downside beta, the traditional risk-return relationship is restored. The downside betas of low-beta stocks...

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...

We analyze if the value-weighted stock market portfolio is second-order stochastic dominance (SSD) efficient relative to benchmark portfolios formed on size, value, and momentum. In the process, we also develop several methodological improvements to the existing tests for SSD efficiency....

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...

We investigate whether risk seeking or non-concave utility functions can help to explain the cross-sectional pattern0 of stock returns. For this purpose, we analyze the stochastic dominance efficiency classification of the value-weighted market portfolio relative to benchmark portfolios based on...