We test for the performance of a series of volatility forecasting models (GARCH 1,1; EGARCH 1,1; CGARCH) in the context of several indices from the two oldest cross-border exchanges (Euronext; OMX). Our findings overall indicate that the EGARCH (1,1) model outperforms the other two, both before...

Purpose – The purpose of this paper is to highlight the possibility of structuring an Islamic option which includes an element of risk sharing as opposed to risk transfer. Design/methodology/approach – The approach adopted in this research involved a combination of a wa’ad (promise) and...

Purpose – The purpose of this paper is to highlight the possibility of structuring an Islamic option which includes an element of risk sharing as opposed to risk transfer. Design/methodology/approach – The approach adopted in this research involved a combination of a wa’ad (promise) and...

Full-text of this article is not available in this e-prints service. This article was originally published [following peer-review] in Applied Financial Economics, published by and copyright Routledge.

As technology advancement has increased, so to have computational applications for forecasting, modelling and trading financial markets and information, and practitioners are finding ever more complex solutions to financial challenges. Neural networking is a highly effective, trainable...