MACROECONOMIC UNCERTAINTY AND CONDITIONAL STOCK MARKET VOLATILITY IN SOUTH AFRICA*

This paper analyses how systematic risk emanating from the macroeconomy is transmitted into stock market volatility using augmented autoregressive Generalised Autoregressive Conditional Heteroscedastic (AR‐GARCH) and vector autoregression (VAR) models. Also examined is whether the relationship between the two is bidirectional. By imposing dummies for the 1997‐1998 Asian and the 2007‐2009 sub‐prime financial crises, the study further analyses whether financial crises affect the relationship between macroeconomic uncertainty and stock market volatility. The findings show that macroeconomic uncertainty significantly influences stock market volatility. Although volatilities in inflation, the gold price and the oil price seem to play a role, it is found that volatility in short‐term interest rates and exchange rates are the most important, suggesting that South African domestic financial markets are increasingly becoming interdependent. Finally, the results show that financial crises increase volatility in the stock market and in most macroeconomic variables, and, by so doing, strengthen the effects of changes in macroeconomic variables on the stock market.     

The Impact of Political Instability on Inflation Volatility in Africa

This paper investigates whether political instability leads to volatile inflation using a panel of 49 African countries. The study uses novel measures of political instability, particularly the state failure index and state fragility index. In the field of political instability and inflation volatility, this is the first study to measure inflation volatility as the conditional variance of inflation estimated from GARCH (1, 1) model. Adopting the system‐generalized method of moments estimator for linear dynamic panel models for the sample period 1985‐2009, the study documents a positive statistically significant effect of political instability on inflation volatility.     

An Alternative Business Cycle Dating Procedure for South Africa

This paper applies a factor‐augmented Markov‐switching model to the South African economy to provide an alternative classification of the business cycle and its turning points. In the principal components step, 123 variables are used to establish the aggregate cyclicality in all sectors of the economy with the number of factors chosen using a modified Bai and Ng method. By exploiting the rich nature of the dataset, we provide a model with well‐defined statistical properties that compares favourably with the South African Reserve Bank (SARB) dating points. Combining the results of the parametric approach followed in the Markov‐switching model and the non‐parametric approach followed by the SARB should allow for a robust turning point analysis. A Markov‐switching model of real gross domestic product is also estimated because this variable is commonly used in the literature and provides a benchmark for the factor models.     

Are Determinants of Portfolio Flows Always the Same? ‐ South African Results from a Time Varying Parameter Var Model

The literature on determinants of cross‐border capital flows has consistently assumed the determinants of such flows to be constant throughout the sample. This paper investigates this notion by estimating the time varying relationship between portfolio flows to South Africa and two widely accepted determinants of such flows: the sovereign spread and global risk (measured by the CBOE Volatility Index, henceforth VIX). The results show that the time variation is highly significant and a constant parameter model will give biased estimates of the effects of risk on capital flows. The paper also gives important insights to South African policy makers and financial practitioners: Bond flows (non‐resident purchases of South African bonds) have become more sensitive to the VIX after 2010. Share flows were particularly sensitive at the peak of the 2008 global financial crisis, but have at other times not responded in a statistically significant manner to changes in global risk. The relationships are estimated using a time varying parameter vector autoregressive (TVP VAR) model with stochastic volatility.     

Assessing Nonlinear Dynamics of Central Bank Reaction Function: The Case of Mozambique

This paper sheds some light on the elements governing monetary policy‐making during the period 2000Q1–2015Q1 in Mozambique. We estimate a time‐varying Taylor‐type rule for the BM, using a Markov‐switching (MS) model and a Threshold model. The general finding is that the behaviour of the BM can be characterised by two regimes. In regime 1, only changes in inflation trigger a reaction by the monetary authority. This behaviour is prominent after the establishment of the monetary policy committee in 2007 (CPMO). In regime 2, the BM reacts aggressively both to cool off the economic activity and to curb inflationary pressures. Regime 2 occurred most frequently during 2000–2006, when the fiscal policy might have played an important role in output stabilization. After the establishment of the CPMO, regime 2 occurred in the context of a steep rise in fuel and food prices in 2007–2008 and in 2010. Both the MS model and the Threshold model show similar asymmetric effects. We find evidence that inflation is viewed more seriously by the monetary authorities when it is accompanied by a high output‐gap in the previous period, which triggers a more aggressive response from the monetary authorities.     

IS THERE AN ASYMMETRIC BEHAVIOUR IN AFRICAN INFLATION? A NON‐LINEAR APPROACH

In this paper we test the inflation persistence hypothesis as well as model the long‐run behaviour of inflation rates in a pool of African countries using a non‐linear framework. In order to do so, we rely on unit root tests applied to non‐linear models and fractional integration. The results show that the hypothesis of inflation persistence does not hold empirically for most of the countries. In addition, the estimated models (logistic smooth transition autoregressions) are stable in the sense that the variable tends to remain in the regime (low inflation or high inflation) once reached, and changes between regimes are only achieved after a shock. The results also indicate that the effects of the shocks on inflation tend to die out; exogenous factors, i.e. supply shocks and inertia may be causing this outcome, as they play a substantial role in the determination of the inflation rates for our selected African countries.     

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.     

ZONE‐TARGETING MONETARY POLICY PREFERENCES AND FINANCIAL MARKET CONDITIONS: A FLEXIBLE NON‐LINEAR POLICY REACTION FUNCTION OF THE SARB MONETARY POLICY

We estimate a flexible model of the monetary policy reaction function of the South African Reserve Bank based on a representation of the policymaker's preferences that capture asymmetries and zone‐targeting behaviours. We augment the analysis to allow for responses to financial market conditions over and above inflation and output stabilisation to address the current debate on the importance of financial asset prices in monetary policy decision making. The empirical results show that the monetary authorities' response to inflation is zone symmetric. Secondly, the monetary authorities' response to output is asymmetric with increased reaction during business cycle downturns relative to upturns. Thirdly, the monetary authorities pay close attention to the financial conditions index by placing an equal weight on financial market booms and recessions.     

Will the Sarb always Succeed in Fighting Inflation with Contractionary Policy?

The conventional view is that a monetary policy shock has both supply‐side and demand‐side effects, at least in the short run. Barth and Ramey show that the supply‐side effect of a monetary policy shock may be greater than the demand‐side effect. We argue that it is crucial for monetary authorities to understand whether an increase in expected future inflation is due to supply shocks or demand shocks before applying contractionary policy to forestall inflation. We estimate a standard New Keynesian dynamic stochastic general equilibrium model with the cost channel of monetary policy for the South African economy to show that whether the South African Reserve Bank should apply contractionary policy to fight inflation depends critically on the nature of the disturbance. If an increase in expected future inflation is mainly due to supply shocks, the South African Reserve Bank should not apply contractionary policy to fight inflation, as this would lead to a persistent increase in inflation and a greater loss in output. Our estimation results also show that with a moderate level of cost‐channel effect and nominal rigidities, a New Keynesian dynamic stochastic general equilibrium model with the cost channel of monetary policy is able to mimic the price puzzle produced by an estimated vector autoregressive model.     

COPING WITH INFLATION AND EXCHANGE RATE SHOCKS IN THE SOUTH AFRICAN ECONOMY

Over the past ten years South Africa has moved to an increasingly open economy, characterised by a (relatively) low inflation and large and unpredictable movements in the prices of financial assets. One of these asset prices is the value of the South African currency. This volatility in the exchange rate has a direct impact on inflation. Using the interest rate as operational target, a central bank might ignore or underestimate the exchange rate transmission mechanism through which the economy is influenced. This paper proposes a Monetary Conditions Index for South Africa that can be used as a policy rule or simply as an important information variable in conducting monetary policy under an inflation‐targeting regime with a volatile exchange rate.     

ON INFLATION

There is currently much more common sense in the South African inflation debate than a few decades ago. In particular, the South African Reserve Bank exhibits a pragmatic, eclectic approach to inflation (as reflected in its bi‐annual Monetary Policy Reports). This is in stark contrast to the narrow, monetarist‐type thinking that tended to dominate during the 1980s. This paper is an attempt to contribute to the debate by highlighting a few issues, including the widespread substitution of the CPI by the CPIX, the fact that inflation is a process, the need to combat inflation, the causes of the decline in inflation in South Africa and the essential features of an inflation‐targeting framework for monetary policy.     

Volatility expectations and asymmetric effects of direct interventions in the FX market

In this paper, I investigate the effects of central bank interventions (CBI) on ex-ante exchange rate volatility. I measure volatility expectations by implied volatilities estimated from at-the-money currency options prices. Using a Markov switching model, I estimate the effects of CBI which depend on market conditions. The results suggest that the effects of CBI depend on the prevailing volatility regime. It is found that CBI on the DEM–USD market were not necessarily destabilizing after the Louvre Agreement when expected volatility was relatively high.     

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.     

MACROECONOMIC UNCERTAINTY AND AGGREGATE PRIVATE INVESTMENT IN SOUTH AFRICA

This paper investigates the effects of time varying uncertainty on aggregate private fixed investment in South Africa. The GARCH generated measures of volatility of selected macroeconomic variables indicating five measures of uncertainty are used in the analysis. These are output growth uncertainty, uncertainty about changes in the real effective exchange rate, uncertainty about changes in the real interest rate, producer inflation uncertainty, and terms of trade uncertainty. The results of the estimation by an empirical ECM model of conventional investment determinants controlling for the effects of uncertainty indicated that, over all, time varying macroeconomic uncertainty significantly reduces private fixed investment.     

On Determinacy and Learnability in a New Keynesian Model with Unemployment

We analyse determinacy and stability under learning (E‐stability) of rational expectations equilibria in a new Keynesian model of inflation and unemployment, where labour market frictions due to costs of hiring workers play an important role. We derive results for alternative specifications of monetary policy rules and alternative values of hiring costs as a percentage of gross domestic product. We find that in general the region of indeterminacy and E‐instability in the policy space increases with hiring costs. Thus, higher hiring costs – consistent with European and South African “sclerotic” labour market institutions – seem to play an important part in explaining inflation and unemployment instability. Moreover, under lagged data‐based rules, the area where monetary policy delivers both determinacy and E‐stability shrinks. These rules also perform worse according to these two dimensions when hiring costs go up. Finally, under expectations‐based rules an additional explosive region is introduced. For South Africa, a rule based on current data – not unlike the original Taylor rule – works better than a forward‐looking rule.     

Inflation Targeting in ASEAN‐10

The paper addresses the empirical question of whether economies that do not systematically target inflation (non‐inflation targeters) experience higher exchange rate volatility as compared with inflation targeters in 10 countries of the Association of Southeast Asian Nation (ASEAN) from 1990 to 2010. The paper examines the role of real exchange rate, exchange rate volatility and the reaction functions of central banks using dynamic panel estimation techniques. The results indicate that the output gap offers more useful information than the inflation gap in setting interest rates for inflation targeters, implying that the real term is more important than the nominal term. In turn, this suggests that an increase in interest rate can be wielded swiftly to reduce real gross domestic product and suppress inflation. The real exchange rate appears as a weaker determinant in setting interest rates for non‐inflation targeters. Inflation targeters experienced lower exchange rate volatility compared with non‐targeters in the ASEAN, which implies that implementation costs to their domestic economies may be marginally lower. Meanwhile, the non‐targeters follow a mixed strategy as both the inflation and real exchange rate are used as instruments to set the interest rates.     

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 and Inflation Expectations in South Africa: an Attempt at Explanation

This paper examines the relationship between inflation and inflation expectations in South Africa. We use inflation expectations derived from the quarterly surveys conducted by the Bureau of Economic Research from 2001Q1 to 2011Q4 . Using these data, we estimate the model assuming that private sector expectations are a linear function of the inflation target and lagged inflation. The results indicate that economic agents' expectations largely depend on lagged inflation. This suggests that the South African Reserve Bank (SARB) has not been successful in anchoring expectations of the private sector since the adoption of the inflation targeting (IT) regime in 2000. We also find evidence indicating that the SARB's implicit inflation target lies above the upper bound of the official IT band. Finally, it appears that the SARB has been more concerned about output stabilisation than inflation stabilisation.     

Do Monetary Policy Announcements Affect Exchange Rate Returns and Volatility of Returns? Some Evidence from High‐Frequency Intra‐Day South African Data

This paper examines the temporal effect of domestic monetary policy surprises on both returns and volatility of returns of the South African rand/U.S. dollar exchange rate. The analysis in this “event study” proceeds using intra‐day minute‐by‐minute exchange rate data, repo rate data from the South African Reserve Bank's scheduled monetary policy announcements, and market consensus repo rate forecasts. A carefully selected sample over the period August 2003 to November 2017 ensures that the change in monetary policy is exogenous to the exchange rate. We find statistically and economically significant responses in intra‐day high‐frequency South African rand/U.S. dollar exchange rate returns and volatility of exchange rate returns to domestic interest rate surprises, but anticipated changes have no bearing on exchange rate returns and their volatility. The empirical results also indicate that there is an instantaneous response of the rand/dollar exchange rate to monetary policy surprises and that monetary policy news is an important determinant of the exchange rate until at least 42 minutes after the pronouncement – suggesting a high degree of market “efficiency” in its mechanical sense (although not necessarily in the deeper economic‐informational sense) in processing this information. Essentially, the asymmetric GARCH results exhibit no leverage effects – positive and negative information shocks have symmetric effects on conditional variance.