This paper proposes a moment-matching method for approximating vector autoregressions by finite-state Markov chains. The Markov chain is constructed by targeting the conditional moments of the underlying continuous process. The proposed method is more robust to the number of discrete values and...

This paper proposes a new method for approximating vector autoregressions by a finite-state Markov chain. The method is more robust to the number of discrete values and tends to outperform the existing methods over a wide range of the parameter space, especially for highly persistent vector...

Purpose – The purpose of this paper is to look at the power of the Student t -test applied to two independent samples when returns from AR(1) process are categorized into two samples by moving average buy-sell trading rule. Design/methodology/approach – Simulation and empirical study for...

Purpose – The purpose of this paper is to examine the impact of Shariah guidelines on the performance of the Dow Jones Islamic Index (DJIM-US). Shariah or Islamic law is a set of rules that determines Islamic allowed activities including socially and ethically acceptable investments....

The finite state Markov-Chain approximation method developed by Tauchen (1986) and Tauchen and Hussey (1991) is widely used in economics, finance and econometrics in solving for functional equations where state variables follow an autoregressive process. For highly persistent processes, the...

Recently, there has been considerable work on stochastic time-varying coefficient models as vehicles for modelling structural change in the macroeconomy with a focus on the estimation of the unobserved paths of random coefficient processes. The dominant estimation methods, in this context, are...

Genome signatures are statistical properties of DNA sequences that provide information on the underlying species. It is not understood, how such species-discriminating statistical properties arise from processes of genome evolution and from functional properties of the DNA. Investigating the...