This paper analyses the intertemporal hedging demand for stocks and bonds in South Africa (SA), the United Kingdom (UK) and the United States (US). The analysis is done using an approximate solution method for the optimal consumption and wealth portfolio problem of an infinitely long-lived...

This study determines whether the global vector autoregressive (GVAR) approach provides better forecasts of key South African variables than a vector error correction model (VECM) and a Bayesian vector autoregressive (BVAR) model augmented with foreign variables. The paper considers both a small...

This paper investigates the long-run impact of inflation on homeowner equity in South Africa by analysing the relationship between house prices and the prices of non-housing goods and services. Quarterly data series are collected for the luxury, large middle-segment, medium middle-segment, small...

This paper provides empirical evidence on the long- and short-run relationships between real house and stock prices of South Africa. Standard linear tests may not detect the existence of long- and short-run relationships between time series especially in the presence of structural shifts or...

This paper analyses the out-of-sample forecasting performance of non-linear vs. linear models for the South African Rand against the United States dollar and the British Pound, in real terms. We compare the forecasting performance of point, interval and density forecasts for non-linear Band- TAR...

This paper investigates causality between oil prices and the prices of agricultural commodities in South Africa. We use daily data covering the period April 19, 2005 to July 31, 2014 for oil prices and the prices of soya beans, wheat, sunflower and corn. The test for Granger causality in...

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...

Forecasting aggregate retail sales may improve portfolio investors’ ability to predict movements in the stock prices of the retailing chains. Therefore, this paper uses 26 (23 single and 3 combination) forecasting models to forecast South Africa’s aggregate seasonal retail sales. We use data...