Inflation hedging with South African common stocks: a JSE sectoral analysis
- Authors: Kawawa, Dennis
- Date: 2019
- Subjects: Johannesburg Stock Exchange , Inflation (Finance) -- South Africa , Hedging (Finance)-- South Africa
- Language: English
- Type: text , Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10962/71526 , vital:29861
- Description: Inflation risk erodes purchasing power, redistributes wealth from lenders to borrowers and threatens investor’s long-term objectives, which are often specified in real terms; financial market volatility presents an additional risk for investors and portfolio managers concerned with not only real returns but also absolute returns. Understanding key investment risks, of which inflation is one, is crucial for investment managers in order to design effective hedging strategies to preserve wealth over the long run. Empirical tests of the Fisher hypothesis in South Africa have shown that common stocks are a good hedge against inflation. However, empirical evidence from developed countries has also shown that the relationship between common stocks and inflation is heterogeneous across the sectors and industries. This paper analysed the sectoral differences in the hedging ability of South African common stocks to test for this heterogeneity. The paper presents disaggregated sector models to test heterogeneity across the eight sectors of the JSE securities exchange. Understanding which of these sectors offers the best hedge against inflation is important to investors, allowing them to place money where the value will be best preserved during times of higher inflation. The disaggregated sectors tested included the Basic Materials price index, Industrials price index, Consumer Goods price index, Health Care price index, Consumer Services price index, Telecommunications price index, Financials price index, and Technology price index. Johansen Cointegration techniques were employed to empirically test the Fisher hypothesis for the South African market. For the Fisher hypothesis to hold, this paper was required to find evidence of cointegration between the share indices and CPI, as well as a positive slope coefficient for the cointegrating regression. The results of the cointegration test showed that the All Share index and each of disaggregated sector indices were cointegrated with CPI. This implied that a long run relationship exists between common stocks and inflation. Two techniques were used to estimate the cointegrating regressions for each model, a standard long-run cointegrating regression normalizing on the share index and a Vector error correction model (VECM). For all the models both techniques reveal a positive relationship between common stock and CPI with the coefficients for the long run cointegrating regression derived from the various models ranging between 1.41 – 3.62 while the coefficients from the VECM ranged from 1.42 - 4.85. The varying coefficients provide evidence of the heterogeneity of the hedging ability of common stocks. Overall the evidence from the long run cointegration regression suggests that in times of high inflation investors are most compensated for changes in inflation in common stocks relating to the Consumer Services and Health Care sectors, but that in general all sectors of the JSE provide some hedge for inflation. The results suggest that investors are compensated for changes in inflation if they invest in specific industries rather than in the All Share index, thus diversifying portfolios could provide a better hedge for inflation. Although positive coefficients were found the weak exogeneity test revealed only technology Index was caused by changes in CPI. The Paper concluded that in the long run all sectors provided protection against inflation during the period of study, but the evidence only fully supports the Fisher hypothesis for the Technology index, due to the results of the weak exogeneity test that revealed that CPI is weakly exogenous only in the equation of the Technology index.
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- Date Issued: 2019
The effect of the exchange rate on inflation in South Africa
- Authors: Gwili, Lutho Olwethu
- Date: 2019
- Subjects: Inflation (Finance) -- South Africa , Foreign exchange rates -- Africa South Foreign exchange rates -- Econometric models -- Africa South South Africa -- Economic conditions
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/39643 , vital:35341
- Description: The depreciation of the rand in recent years has been one of the indicators of recession in South Africa. The unpredictability of the rand and its volatility has led to great inflationary pressure. The process of examining the relationship between South Africa’s exchange rate and inflation rate has become increasingly relevant down the years. This study analyses the relationship between exchange rate and inflation in South Africa from 1994Q1 to 2017Q4. Its objective is to establish the effect of the exchange rate on inflation in South Africa. The non-linear autoregressive distributed lag (NARDL) model is employed as the method of estimation. Trends in exchange rate and inflation between 1980 and 2017 are analysed. Monetary régimes and shifts in inflation down the years are discussed. Key events like the Asian financial crisis of 1998, the introduction of the inflation targeting framework in 2000, the significant depreciation of the rand in 2001 and the global financial crisis in 2008/09 all contributed majorly in the way the country’s monetary policy and inflation take the form they have today. The literature identifies the exchange rate pass-through, purchasing power parity (PPP) and absolute power parity (APP) as exchange rate theories, all in which are discussed in detail. Empirical evidence suggests a predominantly positive relationship between inflation rate and exchange rate in other African countries as well as in developed countries. The exchange rate pass-through in South Africa appears to have lessened down the years. The NARDL model is discussed in detail in the research methodology chapter. The main reason for using this method of estimation is to capture asymmetry effects that may exist between inflation and exchange rate. First and second generation unit root tests, like Ng-Perron, DF-GLS and KSS, are discussed in detail to capture the stationarity of the variables. The variables of interest include nominal effective exchange rate, Brent crude oil prices, prime lending rate, unemployment rate and M3 money supply. This is done in line with the literature. The vector autoregressive (VAR) model is briefly discussed in the research methodology chapter. The findings of the study reveal that an appreciation in the exchange rate decreases the inflation rate. The results also reveal that a depreciation in the exchange rate decreases the inflation rate, which happens not to be in line with economic theory. This implies that a depreciation has a negative effect on inflation. A positive relationship between oil price and inflation is found to exist. A negative relationship is found to exist between M3 money supply and inflation. There is a positive relationship between prime lending rate and inflation. The study found that the Phillips curve does not hold in South Africa. The estimated VAR model results reveal that there exists unidirectional causality running from nominal effective exchange rate to inflation rate. The impulse response function reveals a negative relationship between exchange rate and inflation. Therefore, the study proposes that policymakers evolve means of evaluating exchange rate volatility, and that lending rates be made flexible. This will help curb inflation in South Africa.
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- Date Issued: 2019
The interaction between oil price shocks, currency volatility and stock market prices: evidence from South Africa
- Authors: Tshivhase, Mikovhe
- Date: 2019
- Subjects: Petroleum products -- Prices , Accounting and price fluctuations , Inflation (Finance) -- South Africa , Stock exchanges , Economics
- Language: English
- Type: Thesis , Masters , MCom
- Identifier: http://hdl.handle.net/10948/43834 , vital:37051
- Description: Crude oil is an essential and strategic commodity in modern economies. Therefore, energy price fluctuations have the potential of affecting the economic welfare of a country. For instance, they have the potential to undermine the government’s attainment of its economic growth targets (National Treasury, 2016:2). The South African Reserve Bank (SARB) also considers oil price movements to be one of the major threats to currency volatility and the continued attainment of its inflation targets of about (3-6, per cent), as evidenced by numerous recent statements by its monetary policy committee (SARB, 2016:5-13). This study used co-integration tests to investigate the interaction between oil price shocks, exchange rates and stock market prices in South Africa over the period 1 January 2011 to 1 April 2018. The study employed the Johansen co-integration test. The results found no long run co-integration between oil prices, exchange rate and stock market prices. Therefore, this study adopted the VAR model for causality tests. Using the VAR model, this study found the existence of a unidirectional causality between stock prices and oil prices, with stock prices leading the oil prices changes. The all share index, resources and financials index were found to be significant variables to explain oil prices. This result is consistent with the business cycle view, which states that oil price fluctuations are mainly driven by demand factors. Furthermore, strong world output growth trends especially in emerging markets, could give rise to an upward surge in oil prices. The study also found that there is a weak correlation between stock price and exchange rate in South Africa. This is consistent with the asset approach. The findings of this study add to the already largely debated theories that seek to explain the relationship between the oil prices, exchange rates and stock market prices. The recommendation of this research is that, policy makers, researchers and investment bankers or fund managers who have interest or trade these financial instruments, may have to consider the role of stock market prices in the various sectors of the economy in their models for forecasting the path of the oil prices and the Rand/US Dollar exchange rate trend.
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- Date Issued: 2019