This paper examines the causal relationship between economic policy uncertainty (EPU) and equity market uncertainty (EMU) in the US using linear and nonlinear Granger causality tests. We use daily data on the newly developed indexes by Baker et al. (2013) covering 1985:01:01 to 2013:06:14....

Information on economic policy uncertainty (EPU) does matter in predicting oil returns especially when accounting for omitted nonlinearities in the relationship between these two variables via a time-varying coefficient approach. In this work, we compare the forecastability of standard, Bayesian...

This paper investigates the direction of causal relationship between taxes and expenditure in South Africa, using quarterly data for the period 1960:1-2006:2, and annual data for 1960 to 2005. For both frequencies, gross domestic product and government debt are included in the VAR system as...

This paper evaluates the ability of Bayesian shrinkage-based dynamic predictive regression models estimated with hierarchical priors (Adaptive Jefferys, Adaptive Student-t, Lasso, Fussed Lasso and Elastic Net priors) and non-hierarchical priors (Gaussian, Lasso-LARS, Lasso-Landweber) in...

This paper employs classical bivariate, factor augmented (FA), slab and spike variable selection (SSVS)-based, and Bayesian semiparametric shrinkage (BSS)-based predictive regression models to forecast the US real private residential fixed investment series over an out of sample period of 1983Q1...

The aim of this paper is to investigate the causal relationship between agricultural prices in South Africa and global oil prices. A nonlinear Granger causality test based on moment conditions, introduced by Nishiyama et al (2011) is employed and we find that there is indeed a causal...

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

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