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 investigates the dynamics of trade duration and the relationship between price volatility and trade durations for the Morgan Stanley Taiwan stock index futures traded on the Singapore Exchange (SGX). It is found that the conditional expected trade durations are significantly related...

This article proposes and tests a convenient, easy to use closed-form solution for the pricing of a European Call option where the underlying asset is subject to upward and downward jumps displaying separate distributions and probabilities of occurrence. The setup presented in this article lays...

There is a general argument saying that adding derivative securities (options) to a financial market makes the market more efficient, and has therefore a stabilising effect. We investigate this claim by adding Arrow securities on future states of the world in the asset pricing model with...

The pricing problem of options with an early exercise feature, such as American options, is one of the important topics in mathematical finance. The pricing formulas for American options, however, have not been found in general and the numerical methods are required to derive the price of these...