Purpose – The purpose of this paper is to investigate the time-varying risk return relationship and the persistence of shocks to volatility within GARCH framework both in developed and emerging markets. Design/methodology/approach – This paper uses nonlinear ARCH and GARCH-family models for...

Purpose – The purpose of this paper is to describe the transformation of macro-modelling from reduced form behavioural equations estimated separately, through to contemporary microfounded dynamic stochastic general equilibrium (DSGE) models estimated by systems methods. It is argued that...

Purpose – The objective of this paper is to develop a model that can predict financial distress amongst public listed companies in Malaysia using the logistic regression analysis. Design/methodology/approach – The logistic regression analysis used in this paper is geared towards developing a...

Purpose – This paper aims to provide a new quantitative methodology for predicting turning points and trends in financial markets time series based on information-gap decision theory. Design/methodology/approach – Uncertainty in future returns from financial markets is modeled using...

We present a new profitable trading and risk management strategy with transaction cost for an adaptive equally weighted portfolio. Moreover, we implement a rule-based expert system for the daily financial decision-making process using the power of spectral analysis. We use several key components...

Empirical research documents that temporary trends in stock price movements exist. Moreover, riding a trend can be a profitable investment strategy. Thus, the ability to recognize trends in stock markets influences the quality of investment decisions. In this Paper, we provide a thorough test of...