In this paper, we analyze symmetric and asymmetric causal relationship between energy consumption and economic growth in time and frequency domains, using annual data covering the period of 1965-2012. In general, our results tend to suggest that energy consumption causes growth, especially the...

Accurate forecasts of home sales can provide valuable information for not only, policy makers, but also financial institutions and real estate professionals. Given this, our analysis compares the ability of two different versions of Singular Spectrum Analysis (SSA) methods, namely Recurrent SSA...

This paper considers the forecasting performance of a nonlinear dynamic stochastic general equilibrium (DSGE) model. The results are compared with those of a wide selection of competing models, which include a linear DSGE model and a variety of vector autoregressive (VAR) models. The parameters...

The conduct of in ation targeting is heavily dependent on accurate in ation forecasts. Non-linear models have increasingly featured, along with linear counterparts, in the forecasting literature. In this study, we focus on forecasting South African in ation by means of non-linear models and...

This study applies bootstrap panel causality, proposed by Kónya (2006), to investigate causal link between political uncertainty and stock price for seven OECD countries over the monthly period of 2001.01 to 2013.04. This modeling approach allows us to examine both the cross-sectional...

This paper develops a monetary endogenous growth overlapping generations model characterized by production lags - specically lagged capital inputs - and an in ation targeting monetary authority, and analyses the growth dynamics that emerge from this framework. The growth process is endogenized...

In ation forecasts are a key ingredient for monetary policymaking - especially in an in ation targeting country such as South Africa. Generally, a typical Dynamic Stochastic General Equilibrium (DSGE) only includes a core set of variables. As such, other variables,e.g. such as alternative...

This paper analyses the empirical relationship between inflation and growth using a panel data estimation technique, Multiple Regime Panel Smooth Transition Regression (MR-PSTR), which takes into account the nonlinearities in the data. By using a panel data set for 10 African countries that...

We use a copula approach to investigate the effect of uncertainty on crude-oil returns. Using copulas to construct multivariate distributions of time-series data permit the calculation of the dependence structure between the series independently of the marginal distributions. Further, we...

This study performs the challenging task of examining the forecastability behavior of the stock market returns for the Dow Jones Islamic Market (DJIM) and the Dow Jones Industrial Average (DJIA) indices, using non-parametric regressions. These indices represent different markets in terms of...