This paper investigates empirically whether uncertainty about equity market volatility can explain hedge fund performance both in the cross section and over time. We measure uncertainty via volatility of aggregate volatility (VOV) and construct an investable version through returns on lookback straddles on the VIX index. We find that VOV exposure is a significant determinant of hedge fund returns. After controlling for fund characteristics, we document a robust and significant negative risk premium for VOV exposure in the cross section of hedge fund returns. We corroborate our results using statistical and parameterized proxies of VOV over a longer sample period
Alternative investment vehicles, such as hedge funds, offer potentially high returns for investors w...
Purpose of this thesis is to compare the relationship of hedge fund portfolio and Vix index as well ...
This paper investigates whether market conditions affect fund investor behaviour in the hedge fund i...
This paper investigates empirically whether uncertainty about equity market volatility can explain h...
International audienceThis paper investigates empirically whether uncertainty about volatility of th...
International audienceThis paper investigates empirically whether uncertainty about volatility of th...
This paper investigates empirically whether uncertainty about volatility of the market portfolio can...
This paper investigates, in a dynamic perspective, whether uncertainty about equity market returns c...
This study investigates whether the forward-looking volatility of aggregate volatility (VOV) risk fo...
This thesis consists of three papers that make independent contributions to the field of financial e...
This thesis studies the relationship between U.S. stock market uncertainty (VIX) and hedge fund retu...
We study the risk-return characteristics in the time series of a broad collection of hedge funds fro...
While there has been enormous interest in hedge funds from academics, prospective and current invest...
This thesis examines the pricing of volatility on organized U.S. options exchanges from October 31, ...
A stylized theoretical model with stochastic volatility suggests the existence of a trade-off betwee...
Alternative investment vehicles, such as hedge funds, offer potentially high returns for investors w...
Purpose of this thesis is to compare the relationship of hedge fund portfolio and Vix index as well ...
This paper investigates whether market conditions affect fund investor behaviour in the hedge fund i...
This paper investigates empirically whether uncertainty about equity market volatility can explain h...
International audienceThis paper investigates empirically whether uncertainty about volatility of th...
International audienceThis paper investigates empirically whether uncertainty about volatility of th...
This paper investigates empirically whether uncertainty about volatility of the market portfolio can...
This paper investigates, in a dynamic perspective, whether uncertainty about equity market returns c...
This study investigates whether the forward-looking volatility of aggregate volatility (VOV) risk fo...
This thesis consists of three papers that make independent contributions to the field of financial e...
This thesis studies the relationship between U.S. stock market uncertainty (VIX) and hedge fund retu...
We study the risk-return characteristics in the time series of a broad collection of hedge funds fro...
While there has been enormous interest in hedge funds from academics, prospective and current invest...
This thesis examines the pricing of volatility on organized U.S. options exchanges from October 31, ...
A stylized theoretical model with stochastic volatility suggests the existence of a trade-off betwee...
Alternative investment vehicles, such as hedge funds, offer potentially high returns for investors w...
Purpose of this thesis is to compare the relationship of hedge fund portfolio and Vix index as well ...
This paper investigates whether market conditions affect fund investor behaviour in the hedge fund i...