An Open Access edition of this book is available on the Liverpool University Press website (<a href=https://www.liverpooluniversitypress.co.uk/pages/essentials-of-financial-management-efm)" target="_blank" rel="nofollow">https://www.liverpooluniversitypress.co.uk/pages/essentials-of-financial-management-efm)</a>.<i>Essentials of Financial Management</i> is an Open Access e-textbook (paperback edition also available) suitable for...

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...

In this article, a mixed methodology that combines both the Autoregressive Moving Average Model (ARMA) and Neural Network Regression (NNR) models is proposed to take advantage of the unique strength of ARMA and NNR models in linear and nonlinear modelling. Experimental results with real data...

In the current paper, we present an integrated genetic programming (GP) environment called java GP modelling. The java GP modelling environment is an implementation of the steady-state GP algorithm. This algorithm evolves tree-based structures that represent models of inputs and outputs. The...

The motivation for this article is the investigation of the use of a promising class of neural network (NN) models, higher order neural networks (HONNs), when applied to the task of forecasting and trading the 21-day-ahead realised volatility of the FTSE 100 futures index. This is done by...

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...

The motivation for this article is to investigate the use of a promising class of Neural Network (NN) models, Higher Order Neural Networks (HONNs), when applied to the task of forecasting the 1-day ahead Value at Risk (VaR) of the brent oil and gold bullion series with only autoregressive terms...