FORECASTING THE SOUTH AFRICAN ECONOMY WITH GIBBS SAMPLED BVECMs

The paper uses the Gibbs sampling technique to estimate a heteroscedastic Bayesian Vector Error Correction Model (BVECM) of the South African economy for the period 1970:1‐2000:4, and then forecasts GDP, consumption, investment, short and long term interest rates, and the CPI over the period of 2001:1 to 2005:4. We find that a tight prior produces relatively more accurate forecasts than a loose one. The out‐of‐sample‐forecast accuracy resulting from the Gibbs sampled BVECM is compared with those generated from a Classical VECM and a homoscedastic BVECM. The homoscedastic BVECM is found to produce the most accurate out of sample forecasts.     

FORECASTING THE SOUTH AFRICAN ECONOMY WITH VARs AND VECMs

The paper develops a Bayesian Vector Error Correction Model (BVECM) of the South African economy for the period 1970:1‐2000:4 and forecasts GDP, consumption, investment, short and long term interest rates, and the CPI. We find that a tight prior produces relatively more accurate forecasts than a loose one. The out‐of‐sample‐forecast accuracy resulting from the BVECM is compared with those generated from the Classical variant of the VAR and VECM and the Bayesian VAR. The BVECM is found to produce the most accurate out of sample forecasts. It also correctly predicts the direction of change in the chosen macroeconomic indicators.     

A SMALL-SCALE DSGE MODEL FOR FORECASTING THE SOUTH AFRICAN ECONOMY

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 the period of 2001:1 to 2005:4. The forecast errors are then compared with the unrestricted versions of the Classical and Bayesian VARs. A Bayesian VAR with relatively loose priors outperforms both the classical VAR and the DSGE model.     

A BVAR MODEL FOR THE SOUTH AFRICAN ECONOMY

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 than a loose one. The out‐of‐sample‐forecast accuracy resulting from the BVAR model is compared with the same generated from the univariate and unrestricted VAR models. The BVAR model is found to produce the most accurate out of sample forecasts. The same is also capable of correctly predicting the direction of change in the chosen macroeconomic indicators.     

AN ANALYSIS OF INVENTORY INVESTMENT IN SOUTH AFRICA

This paper describes the evolution of inventory investment in South Africa over the past two decades, and identifies the factors influencing inventory investment over this period. An econometric model of inventory investment in South Africa, based on the production smoothing approach, is constructed. The results of the model indicate that actual sales, production, unfilled orders, price levels, interest rates and expected sales have an influence on the evolution of inventory investment. These variables are directly or indirectly influenced by macroeconomic policy decisions and through their influence on inventory investment they also influence changes in gross domestic product. Therefore, prior information on the factors that influence inventory investment contributes to explaining changes in gross domestic product and may help to prepare more accurate short‐term forecasts of overall economic activity.     

SPATIAL BAYESIAN METHODS OF FORECASTING HOUSE PRICES IN SIX METROPOLITAN AREAS OF SOUTH AFRICA

This paper estimates Spatial Bayesian Vector Autoregressive (SBVAR) models, 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 six-months-ahead house prices over the forecast horizon of 2005:07 to 2007:06. When we compare forecasts generated from the SBVARs with those from an unrestricted Vector Autoregressive (VAR) and the Bayesian Vector Autoregressive (BVAR) models based on the Minnesota prior, we find that the spatial models tend to outperform the other models for large middle-segment houses; while the VAR and the BVAR models tend to produce lower average out-of-sample forecast errors for middle and small-middle segment houses, respectively. In addition, based on the priors used to estimate the Bayesian models, our results also suggest that prices tend to converge for both large- and middle-sized houses, but no such evidence could be obtained for the small-sized houses.     

AN OPEN ECONOMY NEW KEYNESIAN DSGE MODEL OF THE SOUTH AFRICAN ECONOMY

In this paper an open economy New Keynesian model of the South African economy is presented. The model is constructed to provide for incomplete pass-through of exchange rate changes, external habit formation, partial indexation of domestic prices and wages to past inflation, and staggered price and wage setting. Furthermore, the model is estimated using Bayesian techniques on South African domestic and trade partner data for the period 1990Q1 to 2007Q4. The estimated model is analysed by means of impulse response functions.     

FORECASTING PERFORMANCE OF AN ESTIMATED DSGE MODEL FOR THE SOUTH AFRICAN ECONOMY

We construct a small open‐economy New Keynesian dynamic stochastic general equilibrium (DSGE) model for South Africa with nominal rigidities, incomplete international risk sharing and partial exchange rate pass‐through. The parameters of the model are estimated using Bayesian methods, and its out‐of‐sample forecasting performance is compared with Bayesian vector autoregression (VAR), classical VAR and random‐walk models. Our results indicate that the DSGE model generates forecasts that are competitive with those from other models, and it contributes statistically significant information to combined forecast measures.     

ASSESSING MONETARY POLICY IN SOUTH AFRICA IN A DATA‐RICH ENVIRONMENT

This paper examines the efficacy of monetary policy in the South African economy using a data‐rich framework. We use the Factor‐Augmented Vector Autoregressive (FAVAR) methodology, which contains 110 monthly variables for the period 1985:02‐2007:11. The results, based on impulse‐response functions, provide no evidence of the price puzzle observed in traditional Structural Vector Autoregressive analysis and confirm that monetary policy in South Africa is effective in stabilising prices. Unlike the traditional vector autoregressive approach, the FAVAR methodology allows further analysis of a large number of variables. Variables from real and financial variables react negatively to a contractionary monetary policy shock. Finally, we find evidence of the importance of a confidence channel transmission following a monetary policy shock.     

THE CYCLICALITY OF MONETARY AND FISCAL POLICY IN SOUTH AFRICA SINCE 1994

This paper uses a structural vector‐autoregression approach to discuss the cyclicality of fiscal and monetary policy in South Africa since 1994. There is substantial South African literature on this topic, but much disagreement remains. Though not undisputed, there is growing consensus that monetary policy has contributed to the remarkable stabilisation of the South African economy over this period. The evaluation of the role of fiscal policy in stabilisation has been less favourable and there is little evidence that a countercyclical fiscal stance was a priority over this period. This paper considers these issues in an empirical framework that addresses some of the shortcomings in the literature. Specifically, it constructs a structural model in contrast with the reduced form models typically used in the South African literature, incorporates the dynamic interaction between monetary and fiscal shocks on the demand side and supply shocks on the other, and avoids controversy over “neutral” base years and the size of fiscal elasticities. The model confirms the consensus on monetary policy, finding it to have been largely countercyclical since 1994. On fiscal policy, this paper finds evidence of pro‐cyclicality, especially in the more recent period, though the policy simulations suggest that the pro‐cyclicality of fiscal policy has had little destabilising impact on real output.     

DYNAMIC TIME INCONSISTENCY AND THE SOUTH AFRICAN RESERVE BANK

This paper derives the econometric restrictions imposed by the Barro and Gordon model of dynamic time inconsistency on a bivariate time-series model of consumer price index (CPI) inflation and real gross domestic product (GDP), and tests these restrictions based on quarterly data for South Africa covering the period of January 1960-April 1999, i.e. for the pre-inflation targeting period. The results show that the data are consistent with the short- and long-run implications of the theory of time-consistent monetary policy. Moreover, when the model is used to forecast one-step-ahead inflation over the period of January 2001-February 2008, i.e. the period covering the starting point of the inflation-targeting regime until date, we, on average, obtain lower rates of inflation. The result tends to suggest that the South African Reserve Bank perhaps needs to manage the inflation-targeting framework better than it has done so far.     

SYNCHRONISATION BETWEEN SOUTH AFRICA AND THE U.S.: A STRUCTURAL DYNAMIC FACTOR ANALYSIS

This paper studies the synchronisation of the South African and the US cycles and transmission channels through which supply and demand shocks from the US affect economic activity in South Africa in a structural dynamic factor model framework. We find, using the full-sample period, US supply shocks are transmitted to South Africa through business confidence and imports of goods and services; while US demand shocks are transmitted via interest rates, stock prices, exports of goods and services, and real effective exchange rates. Second, there is a decrease in integration over time translated by a drop in synchronisation of cycles. The impact of an increase in comovement of GDP is outweighed by the structural reforms initiated by the government after the end of apartheid. Finally, the idiosyncratic component still plays an important role in the South African economy.     

The impact of disinvestment and the debt crisis on the South African economy

The paper considers the economic implications of disinvestment and the debt crisis for the South African economy with the aid of some historical analysis of foreign capital inflows and growth. It considers the changes that have occurred in the structure of foreign liabilities over the last twenty years and it examines the quantitative and qualitative roles of private investment and non‐direct investment over this period. The debt issue is examined within the framework of disinvestment, and the conclusion reached is that the economic problems consequent to a withdrawal of foreign loans pose a far greater threat to the South African economy than the loss of foreign direct investment. We assume that disinvestment is not accompanied by any official trade embargo, and the controversy surrounding the relationship between economic growth and social and political change in South Africa is ignored.     

THE EQUITY PREMIUM AND RISK-FREE RATE PUZZLES IN A TURBULENT ECONOMY: EVIDENCE FROM 105 YEARS OF DATA FROM SOUTH AFRICA

This paper presents a detailed empirical examination of the South African equity premium, and a quantitative theoretic exercise to test the canonical inter-temporal consumption-based asset-pricing model under power utility. Over the long run, the South African stock market produced average returns six to eight percentage points above bonds and cash, and at the 20-year horizon, an investor would not have experienced a single negative realised equity premium over the entire 105-year period we examine. Yet the maximum equity premium rationalised by the consumption-based model is 0.4%. The canonical macro-financial model closely matches the average risk-free rate, using realistic parameters for the coefficient of risk aversion and a positive rate of time preference.     

Estimating South Africa's Output Gap and Potential Growth Rate

This paper estimates the potential output of the South African economy using several filters. We demonstrate that potential output measures are very sensitive to the different methodologies. We also provide estimates of South Africa's potential growth rate over the 1960–2015 period. Current estimates of the potential growth rate fall in the 1.9%–2.3% range. However, the evidence suggests that the rate is under considerable downward pressure. South African potential growth may be headed toward the 1% range. The strongest decline is in the real sectors of the economy (Manufacturing, Mining), the greatest resilience in the service sectors (financial in particular).     

INFLATION TARGETING AND THE FISHER EFFECT IN SOUTH AFRICA: AN EMPIRICAL INVESTIGATION

The paper analyses the relationship between expected inflation and nominal interest rates during a period of inflation targeting in South Africa, i.e. from 2000 to 2005. Specifically, it investigates the Fisher hypothesis that nominal interest rates move one‐to‐one with expected inflation, leaving the real interest rate unaffected. The analysis distinguishes between a short‐run Fisher effect and a long‐run Fisher effect. Using cointegration and error correction models (for monthly data for the period April 2000 to July 2005), it was found that the short‐run Fisher hypothesis did not hold during the relevant period under the inflation targeting monetary policy framework in South Africa. This is attributed to a combination of the South African Reserve Bank's (SARB) control over short‐term interest rates and the effects of the monetary transmission mechanism. The long‐run Fisher hypothesis could not be confirmed in its strictest form: while changes in inflation expectations move in the same direction as the nominal long‐term interest rate. This suggests that monetary policy has an influence on the real long‐term interest rate, which has positive implications for general economic activity, thus confirming the credibility of the inflation targeting framework.     

WHAT PRICE‐LEVEL DATA CAN TELL US ABOUT PRICING CONDUCT IN SOUTH AFRICA

This article reports the findings of a study of two unique microdata sets, which are the unit level basis of South Africa's measured Consumer Price Index and Producer Price Index, over the period December 2001‐December 2007. In particular, based on techniques that have been used in comparable international studies, findings are reported on the frequency and magnitude of price changes, the duration of prices, and heterogeneity in pricing. The results for South Africa are compared with the stylised facts for pricing conduct, which have been presented in recent international studies. The article offers an illustration of how microdata‐based findings on pricing conduct may impact on the modelling of monetary policy by introducing micro‐founded results into an open economy dynamic stochastic general equilibrium model for the South African economy. The article concludes by identifying areas for further research, where it has not as yet been determined how South African pricing conduct compares with certain stylised pricing facts identified in the international literature.     

Economic Liberalization and Conditional Volatility of Exchange Rate in Sub‐Saharan Africa: Asymmetric GARCH Analysis

Abstract: For small open economies, an understanding of movements in the exchange rate is imperative in analyzing trade and capital flows. In addition, reliable forecasting of exchange rate volatility is important in risk‐taking assessment and investment decision‐making, both of which are critical to long‐term growth. Using an asymmetric GARCH‐type approach, this paper examines the implications of economic liberalization on the stochastic behavior of the exchange rate series in a sample of sub‐Sahara African (SSA) countries over the 1970–2004 period. The results indicate that exchange rate volatility is variable, and is less volatile under fixed exchange rate regime (pre‐economic liberalization) and higher under flexible regime (post‐economic liberalization), that is, it is asymmetric. For most of the countries, the EGARCH and TGARCH models are robust to parameter stability and gives better forecasting performance compared to the standard GARCH model.     

MEASURING THE WELFARE COST OF INFLATION IN SOUTH AFRICA

In this paper, we estimate the long‐run equilibrium relationship between money balance as a ratio of income and the Treasury bill rate for the period of 1965:02 to 2007:01, and in turn use the relationship to obtain welfare cost estimates of inflation. Using the Johansen technique, we estimate a log‐log specification and a semi‐log model of the above relationship. Based on the fits of the specifications, we decided to rely more on the welfare cost measure obtained under the log‐log money demand model. Our estimates suggest that the welfare cost of inflation for South Africa ranges between 0.34% and 0.67% of GDP, for a band of 3‐6% of inflation. Thus, it seems that the South African Reserve Bank's current inflation target band of 3‐6% is not too poorly designed in terms of welfare.     

THE SENSITIVITY OF SOUTH AFRICAN INFLATION EXPECTATIONS TO SURPRISES

Price stability is widely recognised as the primary goal of modern monetary policy, and the management of private sector inflation expectations has become an essential channel through which this goal is achieved. This evaluation aims to improve the understanding of how the sensitivity of private sector inflation expectations to macroeconomic surprises in South Africa compares internationally, as this provides an indication of the contribution of monetary policy in South Africa to anchoring inflation expectations. If a central bank is credible, the financial markets should react less sensitively to macroeconomics surprises, because they trust the central bank to manage these incidents and achieve the objectives they communicated over the medium to long term. In this paper, the methodology of Gurkaynack et al. is adopted in order to measure the sensitivity of South African inflation expectations to surprises. A comparison of South Africa's results with those of countries in the original studies supports the contention that the SARB (South African Reserve Bank) has encouraged inflation expectations to be relatively insensitive to macroeconomic surprises, and offers support for the inflation-targeting framework as a means to help anchor inflation expectations.