The paper develops a Bayesian vector autoregressive (BVAR) model of the South African economy for the period of 1970:1-2000:4 and forecasts GDP, consumption, investment, short-term and long term interest rates, and the CPI. We find that a tight prior produces relatively more accurate forecasts...

This paper estimates Bayesian Vector Autoregressive (BVAR) models, both spatial and non-spatial (univariate and multivariate), for the twenty largest states of the US economy, using quarterly data over the period 1976:Q1 to 1994:Q4; and then forecasts one-to-four quarters ahead real house price...

This paper uses a version of Hansen’s (1985) Dynamic Stochastic General Equilibrium (DSGE) model to forecast the South African economy. The calibrated model, based on annual data over the period of 1970-2000, is used to generate one- to eight-quarters-ahead out-of-sample forecast errors for...

This paper estimates Spatial Bayesian Vector Autoregressive models (SBVAR), based on the First-Order Spatial Contiguity and the Random Walk Averaging priors, for six metropolitan areas of South Africa, using monthly data over the period of 1993:07 to 2005:06. We then forecast one- to...

Fragility that periodically erupts into a full-blown financial crisis appears to be an integral feature of market-based financial systems in spite of the emergence of sophisticated risk management tools and regulatory systems. If anything, the increased frequency of modern crises underscores how...

We analyse the links between credit default swap (CDS) and bond spreads and try to determine which one is the leading market in the price discovery process. To do that, we construct a sample of CDS premia and bonds spreads on a generic 5-year bond, for 17 financials and 18 sovereigns. First, we...

This paper investigates the asymmetric and nonlinear transmission of financial and energy prices to US five-year financial CDS sector index spreads for the banking, financial services and insurance sectors in the short- and long-run over the recent periods including the world financial crisis....