This paper investigates whether insiders use private information in their decision to exercise executive stock options. Consistent with existing research, exercises overall do not yield subsequent abnormal returns. Categorising exercises by the proportion of stock sold at exercise yields a...

In this paper we explore ways that alleviate problems of nonparametric (artificial neural networks) and parametric option pricing models by combining the two. The resulting enhanced network model is compared to standard artificial neural networks and to parametric models with several historical...

This paper describes and analyses the use of the Filtered Historical Simulation algorithm in pricing spread options. Spread options are contracts whose payoff depends on the price difference (spread) between two or more underlying assets at a future date. Such kind of options are written in the...