Previous research showed that the dividend price ratio process changed remarkably during the 1980's and 1990's, but that the total payout ratio (dividends plus repurchases over price) changed very little. We investigate implications of this difference for asset pricing models. In particular, the...

The prevailing view in finance is that the evidence for long-horizon stock return predictability is significantly stronger than that for short horizons. We show that for persistent regressors, a characteristic of most of the predictive variables used in the literature, the estimators are almost...

This paper presents a general, nonlinear version of existing multifactor models, such as Longstaff and Schwartz (1992). The novel aspect of our approach is that rather than choosing the model parameterization out of "thin air", our processes are generated from the data using approximation...

This paper provides an analytical solution to the problem of how an institution might optimally manage the market risk of a given exposure, under the assumption that the institution wishes to minimize its Value at Risk (VaR) using options. The solution specifies the VaR-minimizing level of...

A vector autoregressive (VAR) model is used to describe the joint dynamics of consumption growth and inflation. The commonly used homoscedastic VAR is extended to allow for stochastic volatility, driven by an unobservable autoregressive factor. Bond prices, the conditional expectation of a...

We investigate the empirical implications of using various measures of payout yield rather than dividend yield for asset pricing models. We find statistically and economically significant predictability in the time series when payout (dividends plus repurchases) and net payout (dividends plus...

This article provides an analytical solution to the problem of an institution optimally managing the market risk of a given exposure by minimizing its Value-at-Risk using options. The optimal hedge consists of a position in a single option whose strike price is independent of the level of...

This paper addresses the question of how an institution might optimally manage the market risk of a given exposure. We provide an analytical approach to optimal risk management under the assumption that the institution wishes to minimize its Value-at-Risk (VaR) using options follows a geometric...