This article examines the co-movement between a leading first-world economy (Germany) and an emerging market economy (South Africa) by applying a dynamic factor model. These countries have been chosen as proxies to analyse the channels of transmission of positive supply and demand shocks in...

The eyes of the world have, in recent years, been steadfastly focused on China’s economic progress. As China has in recent years emerged as a major player on the world economic stage, its growing relations with other developing regions received much attention. Of particular note is the...

This paper studies domestic volatility transmission in an emerging economy. Daily volatility spillover indices, relating to South African (SA) currencies, bonds and equities, are estimated using variance decompositions from a generalised vector autoregressive (GVAR) model (Pesaran and Shin...

This paper studies the trade linkages between South Africa and the BRIC (Brazil, Russia, India, and China) countries. We apply a global vector autoregressive model (global VAR) to investigate the degree of trade linkages and shock transmission between South Africa and the BRIC countries over the...

This paper studies volatility comovement in world equity markets between 1994 and 2008. Global volatility factors are extracted from a panel of monthly volatility proxies relating to 25 developed and 20 emerging stock markets. A dynamic factor model (FM) is estimated using two-year rolling...

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...

This paper uses large Factor Models (FMs) 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. The FMs used in this study contains 267 quarterly series...

This paper develops large-scale Bayesian Vector Autoregressive (BVAR) models, based on 268 quarterly series, for forecasting annualized real house price growth rates for large-, medium and small-middle-segment housing for the South African economy. Given the in-sample period of 1980:01 to...

We examine the characteristics and comovement of cycles in house prices, credit, real activity and interest rates in advanced economies during the past 25 years, using a dynamic generalised factor model. House price cycles generally lead credit and business cycles over the long term, while in...

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 macro-economic variables of a small...