In this paper we examine the theoretical conditions under which a firm will have incentives to optimallychoose investment projects of duration that deviates from its stated horizon objective. Our approachconsiders a context in which investment horizon is subject to randomness and its length is...

Credit risk transition probabilities between aggregate portfolio classes constitute a very useful tool when individual transition data are not available. Jones (2005) estimates Markovian Credit Transition Matrices using an adjusted least squares method. Given the arguments of Judge and Takayama...

Assuming the time series of random returns to be jointly elliptical, we derive a relationship between its conditional variance and the probability density function of the conditioning set. In the case that such a relationship is linear in a quadratic form for of the conditioning variables, we...

A number of volatility forecasting studies have led to the perception that the ARCH- and Stochastic Volatility-type models provide poor out-of-sample forecasts of volatility. This is primarily based on the use of traditional forecast evaluation criteria concerning the accuracy and the...