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Macroeconomic surprises and stock returns in South Africa

Author

Listed:
  • Rangan Gupta
  • Monique Reid

Abstract

Purpose - The objective of this paper is to explore the sensitivity of industry‐specific stock returns to monetary policy and macroeconomic news. The paper looks at a range of industry‐specific South African stock market indices and evaluates the sensitivity of these indices to various unanticipated macroeconomic shocks. Design/methodology/approach - The authors begin with an event study, which examines the immediate impact of macroeconomic shocks on the stock market indices, and then use a Bayesian vector autoregressive (BVAR) analysis, which provides insight into the dynamic effects of the shocks on the stock market indices, by allowing them to treat the shocks as exogenous through appropriate setting of priors defining the mean and variance of the parameters in the VAR. Findings - The results from the event study indicate that with the exception of the gold mining index, where the CPI surprise plays a significant role, monetary surprise is the only variable that consistently negatively affects the stock returns significantly, both at the aggregate and sectoral levels. The BVAR model based on monthly data, however, indicates that, in addition to the monetary policy surprises, the CPI and PPI surprises also affect aggregate stock returns significantly. However, the effects of the CPI and PPI surprises are quite small in magnitude and are mainly experienced at shorter horizons immediately after the shock. Originality/value - To the best of the authors' knowledge, this is the first study conducted on South Africa which analyses the impact of a wide range of unanticipated macroeconomic shocks on stock returns. This paper improves on earlier efforts by using measures of monetary policy, as well as other macroeconomic news, which more cleanly isolates the unanticipated elements of the monetary policy variable and other macroeconomic indicators, in studying the impact of these surprises on stock returns in South Africa.

Suggested Citation

  • Rangan Gupta & Monique Reid, 2013. "Macroeconomic surprises and stock returns in South Africa," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 30(3), pages 266-282, July.
  • Handle: RePEc:eme:sefpps:v:30:y:2013:i:3:p:266-282
    DOI: 10.1108/SEF-Apr-2012-0049
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    Citations

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    Cited by:

    1. Pooja Joshi & A K Giri, 2015. "Dynamic Relations between Macroeconomic Variables and Indian Stock Price: An Application of ARDL Bounds Testing Approach," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(10), pages 1119-1133, October.
    2. Beatrice D. Simo - Kengne & Mehmet Balcilar & Rangan Gupta & Monique Reid & Goodness C. Aye, 2012. "Is the relationship between monetary policy and house prices asymmetric in South Africa? Evidence from a Markov-Switching Vector Autoregressive mode," Working Papers 15-26, Eastern Mediterranean University, Department of Economics.
    3. Dewenter, Kathryn L. & Riddick, Leigh A., 2018. "What's the value of a TBTF guaranty? Evidence from the G-SII designation for insurance companies✰," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 70-85.
    4. Nasha Maveé & Mr. Roberto Perrelli & Mr. Axel Schimmelpfennig, 2016. "Surprise, Surprise: What Drives the Rand / U.S. Dollar Exchange Rate Volatility?," IMF Working Papers 2016/205, International Monetary Fund.
    5. Rafiqul Bhuyan & Mohammad Sogir Hossain Khandoker & Mahjuja Taznin & Md. Shanur Rahman & Lamia Akter, 2021. "Determining Stock Return movements of Banking Sector during Global Financial Crisis: An Examination on Emerging Markets of Bangladesh," Bulletin of Applied Economics, Risk Market Journals, vol. 8(2), pages 111-123.
    6. Ligita Gasparėnienė & Rita Remeikienė & Aleksejus Sosidko & Vigita Vėbraitė & Evaldas Raistenskis, 2020. "Modeling of EURO STOXX 50 index price returns based on industrial production surprises: basic and machine learning approach," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 1305-1320, December.
    7. Sonali Das & Rangan Gupta & Patrick Kanda & Monique Reid & Christian Tipoy & Mulatu Zerihun, 2014. "Real interest rate persistence in South Africa: evidence and implications," Economic Change and Restructuring, Springer, vol. 47(1), pages 41-62, February.
    8. Fabian MOODLEY, 2024. "Bond Indices Maturities and Changing Macroeconomic Conditions: Evidence from South Africa," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 8(1), pages 57-73.
    9. Cakan Esin & Rangan Gupta, 2017. "Does the US. macroeconomic news make the South African stock market riskier?," Journal of Developing Areas, Tennessee State University, College of Business, vol. 51(4), pages 17-27, October-D.

    More about this item

    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G1 - Financial Economics - - General Financial Markets

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