EXCHANGE RATE PASS‐THROUGH TO IMPORT PRICES IN SOUTH AFRICA: IS THERE ASYMMETRY?1

This paper examines the magnitude and speed of exchange rate pass‐through (ERPT) to import prices in South Africa. It further explores whether the direction and size of changes in the exchange rate have different pass‐through effects on import prices, i.e. whether the exchange rate pass‐through is symmetric or asymmetric. The findings of the study suggest that ERPT in South Africa is incomplete but relatively high. Furthermore, ERPT is found to be higher in periods of rand depreciation than appreciation, which supports the binding quantity constraint theory. There is also evidence to suggest that pass‐through is slightly higher in periods of small changes than large changes in the exchange rate in harmony with the menu cost theory when the invoices are denominated in the exporters' currency.     

NO‐ARBITRAGE ONE‐FACTOR MODELS OF THE SOUTH AFRICAN TERM STRUCTURE OF INTEREST RATES

Short‐term interest rate processes determine the term structure of interest rates in an arbitrage‐free market and are central to the valuation of interest rate derivatives. We obtain parameter estimates and compare the empirical fit of alternative one‐factor continuous‐time processes for the South African short‐term interest rate (and hence of arbitrage‐free term structure models) using Gaussian estimation methods. We find support only for diffusions where the interest rate volatility is moderately sensitive to the level of the interest rate. Other common models with restrictions that either preclude this effect, or restrict it to be too high, do not fit the data. Differences in the specification of the drift function have no evident effect on model performance.     

RISK–RETURN TRADE‐OFF AND BEHAVIOUR OF VOLATILITY ON THE SOUTH AFRICAN STOCK MARKET: EVIDENCE FROM BOTH AGGREGATE AND DISAGGREGATE DATA

The study analyses the nature and behaviour of volatility, the risk–return relationship and the long‐term trend of volatility on the South African equity markets using aggregate level, industrial level and sectoral level daily data for the period 1995‐2009. By employing dummy variables for the Asian and the sub‐prime financial crises and the 11 September political shock, the study further examines whether the long‐term trend of volatility structurally breaks during financial crises and major political shocks. Three time‐varying generalised autoregressive conditional heteroskedasticity models were employed: one of them symmetric, and the other two asymmetric. Each of these models was estimated based on three error distributional assumptions. The findings of the study are as follows: First, volatility is largely persistent and asymmetric. Second, risk at both aggregate and disaggregate level is generally not a priced factor on the South Africa (SA) stock market. Third, the threshold autoregressive conditional heteroscedasticity (TARCH) model under the generalised error distribution is the most appropriate model for conditional volatility of the SA stock market. Fourth, volatility generally increases over time, and its trend structurally breaks during financial crises and major global shocks. The policy and investment implications of the findings are outlined.     

INFLATION IN SOUTH AFRICA: A TIME‐SERIES VIEW ACROSS SECTORS USING LONG‐RANGE DEPENDENCE

In this paper I examine the time‐series evolution of the log consumer price index series in South Africa, disaggregating the data by sectors. I examine the time period 1990m1‐2008m12, i.e. focusing on the post‐apartheid period. I used methodologies based on fractional integration using parametric and semiparametric techniques. The results indicate that the (total) inflation rate in South Africa is long memory, with an order of integration in the range (0, 0.5). The same happens with most of the data disaggregated by sectors with values of d above 1 in the log prices. Evidence of I(0) inflation is obtained in some cases for “fruits and nuts”, “vegetables” and “sugar”, and evidence of mean reversion in the log prices is only obtained in the case of “fish and other seafood”.     

Monetary Policy Impulses and Retail Interest Rate Pass‐Through in Asian Banking Markets

This paper considers the integration of financial markets and mutual influences of monetary policies in the USA and Asia based on monthly data from 1994 to 2007. We used panel‐type and time‐series and quantile panel‐type error correction models to test the influences of expected and unexpected monetary policy impulses on the interest rate pass‐through mechanism in the financial markets of 9 Asian countries and the USA. The empirics show that if interest rate integration exists in the financial markets, the following effects are observed: (i) positive impulses of unexpected monetary policy will lead to an increase in the long‐run multiplier of the retail interest rate; (ii) the adjustment of retail interest rates with short‐run disequilibrium will lead to an increase in the long‐run markup; and (iii) the empirical results of quantile regression prove that when the interest variation is greater than the 0.5th quantile and unexpected monetary policy impulses are greater than the expected monetary policy impulses, the short‐run interest rate pass‐through mechanism becomes more unstable.