This article investigates the modelling of style returns in the United States and the returns to style 'tilts' based on forecasts of enhanced future style returns. We use hidden Markov model to build our forecasts for data from 1975 to 1998. We do not include more recent observations as the...

This paper deals with the use of the empirical cumulant generating function to consistently estimate the parameters of a distribution from data that are independent and identically distributed (i.i.d.). The technique is particularly suited to situations where the density function is unknown or...

This paper applies LINEX loss functions to forecasting nonlinear functions of variance. We derive the optimal one-step-ahead LINEX forecast for various volatility models using data transformations such as ln(y2t) where yt is the return of the asset. Our results suggest that the LINEX loss...

This paper assumes that the underlying asset prices are lognormally distributed, and derives necessary and sufficient conditions for the valuation of options using a Blackâ€Scholes type methodology. It is shown that the price of a futuresâ€style, markedâ€toâ€market option is given by...