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Do benchmark African equity indices exhibit the stylized facts?

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Author Info

  • Li, Youwei
  • Hamill, Philip A.
  • Opong, Kwaku K.

Abstract

This paper investigates if benchmark African equity indices exhibit the stylized facts reported for financial time series returns. The returns distributions of the Africa All-Share, Large, Medium and Small Company Indices were found to be leptokurtotic, had fat-tails, over time experienced volatility clustering and exhibited long memory in volatility. Both the All-Share and Large Company Indices were found to exhibit leverage effects. In contrast, positive shocks had a greater impact on future volatility for the Small Company Index which implies a reverse leverage effect. This finding could reflect a bull/bubble market for small capitalisation stocks in Africa.

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Bibliographic Info

Article provided by Elsevier in its journal Global Finance Journal.

Volume (Year): 21 (2010)
Issue (Month): 1 ()
Pages: 71-97

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Handle: RePEc:eee:glofin:v:21:y:2010:i:1:p:71-97

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Web page: http://www.elsevier.com/locate/inca/620162

Related research

Keywords: Africa All-Share Index Stylized facts GARCH Fat-tails Long memory;

References

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  1. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
  2. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June.
  3. Ross Levine, 1997. "Financial Development and Economic Growth: Views and Agenda," Journal of Economic Literature, American Economic Association, vol. 35(2), pages 688-726, June.
  4. Levine, Ross & Zervos, Sara, 1996. "Stock market development and long-run growth," Policy Research Working Paper Series 1582, The World Bank.
  5. Amilon, Henrik, 2008. "Estimation of an adaptive stock market model with heterogeneous agents," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 342-362, March.
  6. Joel L. Horowitz, 2003. "Bootstrap Methods for Markov Processes," Econometrica, Econometric Society, vol. 71(4), pages 1049-1082, 07.
  7. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
  8. Banz, Rolf W., 1981. "The relationship between return and market value of common stocks," Journal of Financial Economics, Elsevier, vol. 9(1), pages 3-18, March.
  9. Einmahl, J. & Dekkers, A. & de Haan, L., 1989. "A moment estimator for the index of an extreme-value distribution," Open Access publications from Tilburg University urn:nbn:nl:ui:12-125712, Tilburg University.
  10. Velasco, Carlos, 1999. "Non-stationary log-periodogram regression," Journal of Econometrics, Elsevier, vol. 91(2), pages 325-371, August.
  11. Davidson, James, 2004. "Moment and Memory Properties of Linear Conditional Heteroscedasticity Models, and a New Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22(1), pages 16-29, January.
  12. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March.
  13. Graham Smith & Keith Jefferis & Hyun-Jung Ryoo, 2002. "African stock markets: multiple variance ratio tests of random walks," Applied Financial Economics, Taylor & Francis Journals, vol. 12(7), pages 475-484.
  14. 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.
  15. Baillie, Richard T. & Bollerslev, Tim & Mikkelsen, Hans Ole, 1996. "Fractionally integrated generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 74(1), pages 3-30, September.
  16. He, Xue-Zhong & Li, Youwei, 2007. "Power-law behaviour, heterogeneity, and trend chasing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3396-3426, October.
  17. Keith Jefferis & Graham Smith, 2005. "The Changing Efficiency Of African Stock Markets," South African Journal of Economics, Economic Society of South Africa, vol. 73(1), pages 54-67, 03.
  18. Benoit Mandelbrot, 1963. "The Variation of Certain Speculative Prices," The Journal of Business, University of Chicago Press, vol. 36, pages 394.
  19. M. Magnusson & B. Wydick, 2002. "How Efficient are Africa's Emerging Stock Markets?," Journal of Development Studies, Taylor & Francis Journals, vol. 38(4), pages 141-156.
  20. Joel Hasbrouck, 2003. "Intraday Price Formation in U.S. Equity Index Markets," Journal of Finance, American Finance Association, vol. 58(6), pages 2375-2400, December.
  21. Peter G. Dunne & Michael J. Moore & Richard Portes, 2007. "Benchmark Status in Fixed-Income Asset Markets," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(9-10), pages 1615-1634.
  22. Horowitz, Joel L., 2001. "The Bootstrap," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 52, pages 3159-3228 Elsevier.
  23. Appiah-Kusi, Joe & Menyah, Kojo, 2003. "Return predictability in African stock markets," Review of Financial Economics, Elsevier, vol. 12(3), pages 247-270.
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Cited by:
  1. Peter Loos & Peter Fettke & Barbara Wei├čenberger & Stephan Zelewski & Armin Heinzl & Ulrich Frank & Juhani Iivari, 2011. "What in Fact Is the Role of Stylized Facts in Fundamental Research of Business and Information Systems Engineering?," Business & Information Systems Engineering, Springer, vol. 3(2), pages 107-125, April.

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