Strategic investors, such as corporate venture capitalists, engage in the financing of start-up firms to complement their core businesses and to facilitate the internalization of externalities. We argue that while strategic objectives make it more worthwhile for an investor to elicit high...

We analyze a publicly-traded firm's decision to stay public or go private when managerial autonomy from shareholder intervention affects the supply of productive inputs by management. We show that both the advantage and the disadvantage of public ownership relative to private ownership lie in...

The Basel II Accord requires that banks and other Authorized Deposit-taking Institutions (ADIs) communicate their daily risk forecasts to the appropriate monetary authorities at the beginning of each trading day, using one or more risk models to measure Value-at-Risk (VaR). The risk estimates of...

This study presents a dynamic model for the private equity market in which information revelation and uncertainty rationally explain the cyclical pattern of investment flows into private equity. The net benefit of private equity over public equity is i) uncertain and ii) agents have private...

This experimental study is concerned with the impact of the timing of the resolution of risk on people’s willingness to take risks, with a special focus on the role of affect. While the importance of anticipatory emotions has so far been only inferred from decisions regarding hypothetical...

Recent research reveals that hedge fund returns exhibit a range of different, possibly non-linear pay-off patterns. It is difficult to qualify all these patterns simultaneously as being rational in a traditional framework for optimal financial decision making. In this paper we present a simple...

An intensive and still growing body of research focuses on estimating a portfolio’s Value-at-Risk. Depending on both the degree of non-linearity of the instruments comprised in the portfolio and the willingness to make restrictive assumptions on the underlying statistical distributions, a...

This paper documents that factors extracted from a large set of macroeconomic variables bear useful information for predicting monthly US excess stock returns and volatility over the period 1980-2005. Factor-augmented predictive regression models improve upon both benchmark models that only...

This paper points out the importance of Stochastic Dominance (SD) efficient sets being convex. We review

We study the relation between the credit cycle and macro-economic fundamentals in an intensity-based framework. Using rating transition and default data of U.S. corporates from Standard and Poor’s over the period 1980—2005 we directly estimate the credit cycle from the micro rating data. We...