We propose a new class of performance measures for Hedge Fund (HF) returns based on a family of empirically identifiable stochastic discount factors (SDFs). The SDF-based measures incorporate no-arbitrage pricing restrictions and naturally embed information about higher-order mixed moments...

This paper investigates hedge funds' exposures to various risk factors across different investment strategies through models with both linear and second-order factors. We extend the analysis from an augmented linear model based on Fama and French (1993) and Fung and Hsieh (2001) to second-order...

This paper examines tail risk in the Brazilian hedge fund industry. We rely on a unique data set of daily returns for every hedge fund in Brazil, dead or alive. By employing the universe of hedge funds, we ensure the absence of selection, survivorship, and instant history biases. We estimate...

This paper analyzes optimal investment decisions, in the presence of non-redundant hedge funds, for investors with constant relative risk aversion. Factor regression models with optionlike risk factors and no-arbitrage principles are used to identify and estimate the market price of hedge fund...