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Volatility characteristics of stocks underlying Exchange Traded Funds in South Africa

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  • Justice Matarutse

Abstract

Exchange Traded Funds (ETFs), since their inception, are now taking a foothold in emerging markets. The study measures price volatility in ETFs and their underlying stocks before and after ETF inception so as to provide new evidence of the volatility implications of ETFs for financial markets. The analysis focuses on the Johannesburg Stock Exchange (JSE) SatrixTop40 ETF and its components using an EGARCH (1, 1) model. The analysis focuses on leverage effects, absolute size of volatility innovations and volatility persistence, and concludes that these volatility characteristics have changed and/or increased after the Satrix Top40 ETF introduction on the JSE.

Suggested Citation

  • Justice Matarutse, 2014. "Volatility characteristics of stocks underlying Exchange Traded Funds in South Africa," Journal of Economics and Behavioral Studies, AMH International, vol. 6(10), pages 829-839.
  • Handle: RePEc:rnd:arjebs:v:6:y:2014:i:10:p:829-839
    DOI: 10.22610/jebs.v6i10.542
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    1. Honghui Chen & Gregory Noronha & Vijay Singal, 2004. "The Price Response to S&P 500 Index Additions and Deletions: Evidence of Asymmetry and a New Explanation," Journal of Finance, American Finance Association, vol. 59(4), pages 1901-1930, August.
    2. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Brooks,Chris, 2008. "RATS Handbook to Accompany Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9780521896955, January.
    5. Edwin J. Elton, 2002. "Spiders: Where Are the Bugs?," The Journal of Business, University of Chicago Press, vol. 75(3), pages 453-472, July.
    6. Ching-Chung Lin & Min-Hsien Chiang, 2005. "Volatility effect of ETFs on the constituents of the underlying Taiwan 50 Index," Applied Financial Economics, Taylor & Francis Journals, vol. 15(18), pages 1315-1322.
    7. 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.
    8. Liu, Hung-Chun & Chiang, Shu-Mei & Cheng, Nick Ying-Pin, 2012. "Forecasting the volatility of S&P depositary receipts using GARCH-type models under intraday range-based and return-based proxy measures," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 78-91.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Shleifer, Andrei & Vishny, Robert W, 1997. "The Limits of Arbitrage," Journal of Finance, American Finance Association, vol. 52(1), pages 35-55, March.
    11. Kim, Dongcheol & Kon, Stanley J, 1994. "Alternative Models for the Conditional Heteroscedasticity of Stock Returns," The Journal of Business, University of Chicago Press, vol. 67(4), pages 563-598, October.
    12. Aditya Kaul & Vikas Mehrotra & Randall Morck, 2000. "Demand Curves for Stocks Do Slope Down: New Evidence from an Index Weights Adjustment," Journal of Finance, American Finance Association, vol. 55(2), pages 893-912, April.
    13. Srichander Ramaswamy, 2011. "Market structures and systemic risks of exchange-traded funds," BIS Working Papers 343, Bank for International Settlements.
    14. Krause, Timothy & Tse, Yiuman, 2013. "Volatility and return spillovers in Canadian and U.S. industry ETFs," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 244-259.
    15. Jack W Aber & Dan Li & Luc Can, 2009. "Price volatility and tracking ability of ETFs," Journal of Asset Management, Palgrave Macmillan, vol. 10(4), pages 210-221, October.
    16. Harris, Lawrence, 1989. " S&P 500 Cash Stock Price Volatilities," Journal of Finance, American Finance Association, vol. 44(5), pages 1155-1175, December.
    17. Y. K. Tse, 1998. "The conditional heteroscedasticity of the yen-dollar exchange rate," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 49-55.
    18. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    1. Damien Kunjal & Faeezah Peerbhai & Paul-Francois Muzindutsi, 2021. "The performance of South African exchange traded funds under changing market conditions," Journal of Asset Management, Palgrave Macmillan, vol. 22(5), pages 350-359, September.

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