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Macroeconomic Surprises and Stock Returns in South Africa

  • Rangan Gupta

    ()

    (Department of Economics, University of Pretoria)

  • Monique Reid

    ()

    (Department of Economics, University of Stellenbosch)

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 a various unanticipated macroeconomic shocks. We 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 us to treat the shocks as exogenous through appropriate setting of priors defining the mean and variance of the parameters in the VAR. 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.

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File URL: http://www.ekon.sun.ac.za/wpapers/2012/wp052012/wp-05-2012.pdf
File Function: First version, 2012
Download Restriction: no

Paper provided by Stellenbosch University, Department of Economics in its series Working Papers with number 05/2012.

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Date of creation: 2012
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Handle: RePEc:sza:wpaper:wpapers157
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  1. Athanasios Orphanides, 1998. "Monetary policy rules based on real-time data," Finance and Economics Discussion Series 1998-03, Board of Governors of the Federal Reserve System (U.S.).
  2. Monique Reid, 2009. "The sensitivity of South African inflation expectations to surprises," Working Papers 16/2009, Stellenbosch University, Department of Economics.
  3. Clive Coetzee, 2002. "Monetary Conditions and Stock Returns: A South African Case Study," Finance 0205002, EconWPA.
  4. Bańbura, Marta & Giannone, Domenico & Reichlin, Lucrezia, 2008. "Large Bayesian VARs," Working Paper Series 0966, European Central Bank.
  5. Rangan Gupta & Alain Kabundi, 2008. "A Dynamic Factor Model for Forecasting Macroeconomic Variables in South Africa," Working Papers 200815, University of Pretoria, Department of Economics.
  6. Litterman, Robert B, 1986. "Forecasting with Bayesian Vector Autoregressions-Five Years of Experience," Journal of Business & Economic Statistics, American Statistical Association, vol. 4(1), pages 25-38, January.
  7. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.
  8. Rangan Gupta & Alain Kabundi, 2009. "Forecasting Macroeconomic Variables Using Large Datasets: Dynamic Factor Model versus Large-Scale BVARs," Working Papers 143, Economic Research Southern Africa.
  9. Z. Chinzara, 2010. "Macroeconomic uncertainty and emerging market stock market volatility: The case for South Africa," Working Papers 187, Economic Research Southern Africa.
  10. Refet S. Gürkaynak & Brian Sack & Eric Swanson, 2005. "The Sensitivity of Long-Term Interest Rates to Economic News: Evidence and Implications for Macroeconomic Models," American Economic Review, American Economic Association, vol. 95(1), pages 425-436, March.
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