We propose a multivariate nonparametric technique for generating reliable scenarios and confidence intervals for the term structure of interest rates from historical data. The approach is based on a functional gradient descent (FGD) estimation of the conditional mean vector and the conditional...

We present a multivariate, non-parametric technique for constructing reliable daily VaR predictions for individual assets belonging to a common equity market segment, which takes also into account the possible dependence structure between the assets and is still computationally feasible in large...

Shareholder agreements govern the relations among shareholders in privately-held firms, such as joint ventures or venture capital-backed firms. We provide an explanation for the use of put and call options, tag-along rights, drag-along rights, demand rights, piggy-back rights, and catch-up...

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...

We propose a simple class of semiparametric multivariate GARCH models, allowing for asymmetric volatilities and time-varying conditional correlations. Estimates for time-varying conditional correlations are constructed by means of a convex combination of estimates for averaged correlations...

When information is costly, a seller may wish to prevent prospective buyers from acquiring information, for the cost of information acquisition is ultimately borne by the seller. A seller can achieve the desired prevention of information acquisition through posted-price selling, by offering...

We provide a direct estimate of the magnitude of agency costs in U.S. publicly-held firms. Using a sample of 1,307 firms in 1992-1997, we compute an explicit performance benchmark that compares a firm’s actual Tobin’s Q to the Q∗ of a hypothetical fully-efficient firm having the same...

We present a multivariate, non-parametric technique for constructing reliable daily VaR predictions for individual assets belonging to a common equity market segment, which takes also into account the possible dependence structure between the assets and is still computationally feasible in large...