textabstractWe 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 market capitalization, book-to-market equity ratio and momentum. We use various existing and novel stochastic dominance criteria that account for the possibility that investors exhibit local risk seeking behavior. Our results suggest that Markowitz type utility functions, with risk aversion for losses and risk seeking for gains, can capture the cross-sectional pattern of stock returns. The low average yield on big caps, growth stocks and...
textabstractWe analyze if the value-weighted stock market portfolio is second-order stochastic domin...
This paper examines risk-averse and risk-seeking investor preferences for oil spot and futures pri...
We apply the stochastic dominance (SD) tests proposed by Linton et al. (2005) and Davidson and Duclo...
textabstractWe investigate whether risk seeking or non-concave utility functions can help to explain...
We use various stochastic dominance criteria that account for (local) risk seeking to analyze market...
What do investor utility functions look like? We show how returns on a stock and prices of call opti...
Empirically, co-skewness of asset returns seems to explain a substantial part of the cross-sectional...
This paper considers four utility functions - concave, convex, S-shaped, and reverse S-shaped - to a...
The value premium remains a puzzle despite considerable research effort in accounting for the higher...
Internet stocks registered large gains in the late 1990s, followed by large losses from early 2000. ...
Investor behavior towards risk lies at the heart of economic decision making in general and modern i...
In moments of financial distress downside risk measures like lower partial moments are more appropri...
textabstractThis paper examines risk-averse and risk-seeking investor preferences for oil spot and f...
In the present work we study the stochastic dominance portfolio e ciency measures. The investor's ri...
textabstractWe analyze if the value-weighted stock market portfolio is second-order stochastic domin...
This paper examines risk-averse and risk-seeking investor preferences for oil spot and futures pri...
We apply the stochastic dominance (SD) tests proposed by Linton et al. (2005) and Davidson and Duclo...
textabstractWe investigate whether risk seeking or non-concave utility functions can help to explain...
We use various stochastic dominance criteria that account for (local) risk seeking to analyze market...
What do investor utility functions look like? We show how returns on a stock and prices of call opti...
Empirically, co-skewness of asset returns seems to explain a substantial part of the cross-sectional...
This paper considers four utility functions - concave, convex, S-shaped, and reverse S-shaped - to a...
The value premium remains a puzzle despite considerable research effort in accounting for the higher...
Internet stocks registered large gains in the late 1990s, followed by large losses from early 2000. ...
Investor behavior towards risk lies at the heart of economic decision making in general and modern i...
In moments of financial distress downside risk measures like lower partial moments are more appropri...
textabstractThis paper examines risk-averse and risk-seeking investor preferences for oil spot and f...
In the present work we study the stochastic dominance portfolio e ciency measures. The investor's ri...
textabstractWe analyze if the value-weighted stock market portfolio is second-order stochastic domin...
This paper examines risk-averse and risk-seeking investor preferences for oil spot and futures pri...
We apply the stochastic dominance (SD) tests proposed by Linton et al. (2005) and Davidson and Duclo...