We treat information acquisition by potential investors in IPOs asendogenous. With endogenous information, the critical question iswhy underwriters would allow investors to spend resources acquiringsuperior information intended solely to effect a wealth transfer. Weshow that institutional...

Dominant investors can influence the publicly available informa-tion about firms by affecting the cost of information collection. Under strategic competition, transparency results in higher variability of profits and output. Thus lenders prefer less transparency, since this protects firms when...

This paper explores the structure of optimal investment strategies using stochastic programming and duality theory in investment portfolios containing options for a hedge fund manager who attempts to beat a benchmark. Explicit optimal conditions for option investments are obtained for several...

This paper presents a theoretical study of how incentives affect hedge fund risk and returns and an empirical study of the performance of a large group of operating hedge funds. Most hedge fund managers receive a flat fee plus a share of the returns above a certain benchmark. We investigate how...

In this study we analyze the performance persistence of hedge funds over different time horizons. Using a non-parametric test, we first observe that the relative value and the specialist credit strategies contain the highest proportion of outperforming mangers. Furthermore, there is no evidence...

We use an expected utility framework to integrate the hedge funds survival uncertainty into an asset allocation optimizartion model. The addition of investment constraints complicates the resolution of the optimal allocation problem. It is solved using a genetic algorithm that mimics the...

In this paper we study the hedging of derivatives in illiquid markets. More specifically we consider a model where the implementation of a hedging strategy affects the price of the underlying security. Following earlier work we characterize perfect hedging strategies by a nonlinear version of...