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Does U.S. Macroeconomic News Make the South African Stock Market Riskier?

Author

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  • Esin Cakan

    (Department of Economics, University of New Haven, USA)

  • Rangan Gupta

    (Department of Economics, University of Pretoria and IPAG Business School, Paris, France)

Abstract

This article analyzes the impactof US macroeconomic announcement surprises on the volatility of the South African equity market. We employ the asymmetric GJR-GARCH model that that allows for both positive and negative surprises about inflation and unemployment rate announcements in the U.S. By examining daily data on South African stock market returns from 31 May 1994 to 8 March 2016, we find that shocks to volatility are persistent and asymmetric. While bad news about US inflation does not affect the volatility of South African stock returns, good news tend to increase the volatility. Further, the South African stock market becomes more risky with an unexpected increase in the US unemployment rate and less risky with the an unexpected decrease in the US unemployment rate, with the latter effect being stronger than the former. Our findings demonstrate that US economic conditions may have an impact on the risk profile of the South African equity market.

Suggested Citation

  • Esin Cakan & Rangan Gupta, 2016. "Does U.S. Macroeconomic News Make the South African Stock Market Riskier?," Working Papers 201646, University of Pretoria, Department of Economics.
  • Handle: RePEc:pre:wpaper:201646
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    1. Nico Katzke & Chris Garbers, 2015. "Do Long Memory and Asymmetries Matter When Assessing Downside Return Risk?," Working Papers 06/2015, Stellenbosch University, Department of Economics.
    2. Hayo, Bernd & Kutan, Ali M. & Neuenkirch, Matthias, 2010. "The impact of U.S. central bank communication on European and pacific equity markets," Economics Letters, Elsevier, vol. 108(2), pages 172-174, August.
    3. 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.
    4. Wu, Guojun & Xiao, Zhijie, 2002. "A generalized partially linear model of asymmetric volatility," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 287-319, August.
    5. Campbell, John Y. & Hentschel, Ludger, 1992. "No news is good news *1: An asymmetric model of changing volatility in stock returns," Journal of Financial Economics, Elsevier, vol. 31(3), pages 281-318, June.
    6. Babikir, Ali & Gupta, Rangan & Mwabutwa, Chance & Owusu-Sekyere, Emmanuel, 2012. "Structural breaks and GARCH models of stock return volatility: The case of South Africa," Economic Modelling, Elsevier, vol. 29(6), pages 2435-2443.
    7. Fama, Eugene F & French, Kenneth R, 1988. "Permanent and Temporary Components of Stock Prices," Journal of Political Economy, University of Chicago Press, vol. 96(2), pages 246-273, April.
    8. Fama, Eugene F, 1981. "Stock Returns, Real Activity, Inflation, and Money," American Economic Review, American Economic Association, vol. 71(4), pages 545-565, September.
    9. John Y. Campbell, Robert J. Shiller, 1988. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," The Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
    10. Amin, Kaushik I & Ng, Victor K, 1993. "Option Valuation with Systematic Stochastic Volatility," Journal of Finance, American Finance Association, vol. 48(3), pages 881-910, July.
    11. Bekaert, Geert & Harvey, Campbell R., 1997. "Emerging equity market volatility," Journal of Financial Economics, Elsevier, vol. 43(1), pages 29-77, January.
    12. Ederington, Louis H & Lee, Jae Ha, 1993. "How Markets Process Information: News Releases and Volatility," Journal of Finance, American Finance Association, vol. 48(4), pages 1161-1191, September.
    13. De Santis, Giorgio & imrohoroglu, Selahattin, 1997. "Stock returns and volatility in emerging financial markets," Journal of International Money and Finance, Elsevier, vol. 16(4), pages 561-579, August.
    14. Bekaert, Geert & Wu, Guojun, 2000. "Asymmetric Volatility and Risk in Equity Markets," The Review of Financial Studies, Society for Financial Studies, vol. 13(1), pages 1-42.
    15. Jan Hanousek & Evžen Kočenda, 2011. "Foreign News and Spillovers in Emerging European Stock Markets," Review of International Economics, Wiley Blackwell, vol. 19(1), pages 170-188, February.
    16. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
    17. Hayo, Bernd & Kutan, Ali M., 2005. "IMF-related news and emerging financial markets," Journal of International Money and Finance, Elsevier, vol. 24(7), pages 1126-1142, November.
    18. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    19. Engle, Robert F & Ng, Victor K, 1993. "Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-1778, December.
    20. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    21. David H. Cutler & James M. Poterba & Lawrence H. Summers, 1988. "What Moves Stock Prices?," Working papers 487, Massachusetts Institute of Technology (MIT), Department of Economics.
    22. Chih-Wei Lee & Ming-Jen Chang, 2011. "Announcement Effects and Asymmetric Volatility in Industry Stock Returns: Evidence from Taiwan," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(2), pages 48-61, March.
    23. Chiang, Thomas C & Doong, Shuh-Chyi, 2001. "Empirical Analysis of Stock Returns and Volatility: Evidence from Seven Asian Stock Markets Based on TAR-GARCH Model," Review of Quantitative Finance and Accounting, Springer, vol. 17(3), pages 301-318, November.
    24. David Büttner & Bernd Hayo & Matthias Neuenkirch, 2012. "The impact of foreign macroeconomic news on financial markets in the Czech Republic, Hungary, and Poland," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 39(1), pages 19-44, February.
    25. Balduzzi, Pierluigi & Elton, Edwin J. & Green, T. Clifton, 2001. "Economic News and Bond Prices: Evidence from the U.S. Treasury Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 36(4), pages 523-543, December.
    26. Jin‐Chuan Duan, 1995. "The Garch Option Pricing Model," Mathematical Finance, Wiley Blackwell, vol. 5(1), pages 13-32, January.
    27. Mensi, Walid & Hammoudeh, Shawkat & Reboredo, Juan Carlos & Nguyen, Duc Khuong, 2014. "Do global factors impact BRICS stock markets? A quantile regression approach," Emerging Markets Review, Elsevier, vol. 19(C), pages 1-17.
    28. repec:eme:sefpps:v:30:y:2013:i:1:p:266-282 is not listed on IDEAS
    29. Hanousek, Jan & Kocenda, Evzen & Kutan, Ali M., 2009. "The reaction of asset prices to macroeconomic announcements in new EU markets: Evidence from intraday data," Journal of Financial Stability, Elsevier, vol. 5(2), pages 199-219, June.
    30. Andersen, Torben G. & Bollerslev, Tim & Cai, Jun, 2000. "Intraday and interday volatility in the Japanese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 10(2), pages 107-130, June.
    31. Zeynep Ãnder & Can Åimga-Mugan, 2006. "How Do Political and Economic News Affect Emerging Markets? Evidence from Argentina and Turkey," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 42(4), pages 50-77, July.
    32. Zivanemoyo Chinzara, 2011. "Macroeconomic Uncertainty And Conditional Stock Market Volatility In South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 79(1), pages 27-49, March.
    33. Ulkem Basdas & Adil Oran, 2014. "Event studies in Turkey," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 14(3), pages 167-188, September.
    34. Walid Mensi & Shawkat Hammoudeh & Seong-Min Yoon & Duc Khuong Nguyen, 2016. "Asymmetric Linkages between BRICS Stock Returns and Country Risk Ratings: Evidence from Dynamic Panel Threshold Models," Review of International Economics, Wiley Blackwell, vol. 24(1), pages 1-19, February.
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    Cited by:

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    2. Rangan Gupta & Jacobus Nel & Christian Pierdzioch, 2023. "Drivers of Realized Volatility for Emerging Countries with a Focus on South Africa: Fundamentals versus Sentiment," Mathematics, MDPI, vol. 11(6), pages 1-26, March.
    3. Balcilar, Mehmet & Bonato, Matteo & Demirer, Riza & Gupta, Rangan, 2018. "Geopolitical risks and stock market dynamics of the BRICS," Economic Systems, Elsevier, vol. 42(2), pages 295-306.
    4. Afees A. Salisu & Rangan Gupta, 2021. "Commodity Prices and Forecastability of South African Stock Returns Over a Century: Sentiments versus Fundamentals," Working Papers 202144, University of Pretoria, Department of Economics.
    5. Bouzgarrou, Houssam & Ftiti, Zied & Louhichi, Waël & Yousfi, Mohamed, 2023. "What can we learn about the market reaction to macroeconomic surprise? Evidence from the COVID-19 crisis," Research in International Business and Finance, Elsevier, vol. 64(C).
    6. Chuliá, Helena & Gupta, Rangan & Uribe, Jorge M. & Wohar, Mark E., 2017. "Impact of US uncertainties on emerging and mature markets: Evidence from a quantile-vector autoregressive approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 178-191.
    7. Konstantinos Gkillas & Dimitrios Vortelinos & Christos Floros & Athanasios Tsagkanos, 2019. "Economic News Releases and Financial Markets in South Africa," Economies, MDPI, vol. 7(4), pages 1-13, November.
    8. Kejin Wu & Sayar Karmakar & Rangan Gupta & Christian Pierdzioch, 2023. "Climate Risks and Stock Market Volatility Over a Century in an Emerging Market Economy: The Case of South Africa," Working Papers 202326, University of Pretoria, Department of Economics.

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    More about this item

    Keywords

    Asymmetric GARCH; US macroeconomic news; surprises; South Africa;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G1 - Financial Economics - - General Financial Markets

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