The purpose of this paper is to study the direction of causality between the stock market and macroeconomic variables. India is taken as a case study. Although, there have been many studies which attempted to find out the relationship between Indian stock market and economic variables, this...

This paper seeks to close the gap of the lack of empirical evidence surrounding the different impact of conventional interest rates on Islamic finance components – Islamic stock markets, Islamic banking and Islamic insurance (called takaful). Such evidence remains imperative in order for the...

As far as the author’s knowledge, the paper is the first attempt dedicated to understanding the risk and volatility of constituents of the young and rapidly growing Islamic mutual funds’ industry. The novelty of our approach lies in the usage of wavelet tools to high-frequency financial...

The purpose of this paper is to test the growing converging views regarding the destabilizing and growthhalting impact of interest-based debt financial system. The views are as advocated by the followers of Keynes and Hyman Minsky and those of Islam. Islam discourages interest rate based debt...

Since its debut into the islamic capital markets landscape in 2005, islamic Real Estate Investment Trusts (REITs) have not shown significant progress in attracting foreign investment, limiting their potential as the ideal asset class for the Shariah compliant investor. It was suggested that a...

This paper discusses current housing finance practices in three emerging economies such as, Malaysia, Thailand and Singapore, as well as the impact of those practices on financial stability. National authorities and policymakers may find this analysis helpful as they reassess the structure and...

Several methods have been proposed in the last few years for evaluating uncertainty in forecasts produced by nonlinear econometric models. Some methods resort to Monte Carlo, while others resort to different simulation techniques. This work aims at comparing these methods by means of experiments...

When econometric models are used as forecasting tools, forecast errors can be decomposed into several components, one of which is due to estimation errors, while another one is due to the stochastic nature of the variables to be predicted. Conditional on model's specification and on the...

Most of the methods proposed in the literature for evaluating forecast uncertainty in econometric models need an estimate of the structural coefficiencs covariance matrix among input data. When estimation is performed with full information maximum likelihood, alternative estimators of such a...

Full information maximum likelihood estimation of econometric models, linear and nonlinear in variables, is performed by means of two gradient algorithms, using either the Hessian matrix or a computationally simpler approximation. In the first part of the paper, the behavior of the two methods...