This paper uses a predictive regression framework to examine the out-of-sample predictability of South Africa’s equity premium, using a host of financial and macroeconomic variables. Past studies tend to suggest that the predictors on their own fail to deliver consistent out-of-sample forecast...

This paper first tests if housing prices in the five segments of the South African housing market, namely, large-middle, medium-middle, small-middle, luxury and affordable, exhibits non-linearity based on smooth transition autoregressive (STAR) models estimated using quarterly data covering the...

This paper investigates the possible existence of Granger-causal relationships in the behavior of sovereign bond markets within the European Monetary Union (EMU), with special focus on higher order causality accounting for nonlinear dependence between the variables. With the above in mind both...

This paper analyses the statistical properties of five major precious metal prices (gold, silver, rhodium, palladium and platinum) based the fractional integration modelling framework while identifying structural breaks. We use monthly data from 1972:1 to 2013:12. Our results indicate orders of...

This paper evaluates the performance of 11 vector autoregressive models in forecasting 15 macroeconomic variables for the Indian economy over the 2007:01 to 2011:10 out-of-sample period. We consider 3 classical VARs, 4 Bayesian VARs and 4 Bayesian Factor Augmented VARs. Comparing the performance...

This paper estimates the Bayesian dynamic stochastic general equilibrium (DSGE) model and uses the model to account for the short-run monetary policy response to increased aid inflows in Malawi. The estimates reveal that the monetary authorities reacted to increased foreign aid inflows the same...

This paper uses two-types of large-scale models, namely the Dynamic Factor Model (DFM) and Bayesian Vector Autoregressive (BVAR) Models based on alternative hyperparameters specifying the prior, which accommodates 267 macroeconomic time series, to forecast key macroeconomic variables of a small...

This paper uses Dynamic Factor Models (DFMs), estimated under both classical and Bayesian assumptions, which accommodates a large cross-section of macroeconomic time series for forecasting per capita growth rate, inflation, and the nominal short-term interest rate for the South African economy....

This paper uses the Dynamic Factor Model (DFM) framework, which accommodates a large cross-section of macroeconomic time series for forecasting regional house price inflation. As a case study, we use data on house price inflation for five metropolitan areas of South Africa. The DFM used in this...