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Risk Factors in Returns of the South African Stock Market

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  • J.J. Szczygielski
  • C. Chipeta

Abstract

This paper employs a multifactor model motivated by the Arbitrage Pricing Theory (APT) to describe the time series behaviour of the South African stock market as represented by the JSE All-Share Index. Factors representative of eight risk factor categories are considered, namely inflation, real activity, the money supply, interest rates, commodities, exchange rates, business cycles indicators and international market indices. These categories are then represented in the return generating process. The results indicate that the South African stock market is influenced by movements in international markets, inflation, inflation expectations, real activity, the money supply, oil prices, exchange rates and cyclical variations in the business cycle. Furthermore, the Autoregressive Conditional Heteroscedastic (ARCH) and Generalized Autoregressive Conditional Heteroscedastic (GARCH) model framework is found to be a more appropriate econometric framework relative to the Least Squares framework (LS) for models of the return generating process of South African stock returns.

Suggested Citation

  • J.J. Szczygielski & C. Chipeta, 2015. "Risk Factors in Returns of the South African Stock Market," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 39(1), pages 47-70, April.
  • Handle: RePEc:taf:rseexx:v:39:y:2015:i:1:p:47-70
    DOI: 10.1080/10800379.2015.12097276
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    Cited by:

    1. Szczygielski, Jan Jakub & Bwanya, Princess Rutendo & Charteris, Ailie & BrzeszczyƄski, Janusz, 2021. "The only certainty is uncertainty: An analysis of the impact of COVID-19 uncertainty on regional stock markets," Finance Research Letters, Elsevier, vol. 43(C).
    2. Szczygielski, Jan Jakub & BrzeszczyƄski, Janusz & Charteris, Ailie & Bwanya, Princess Rutendo, 2022. "The COVID-19 storm and the energy sector: The impact and role of uncertainty," Energy Economics, Elsevier, vol. 109(C).

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