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An Examination of the Effects of Major Political Change on Stock Market Volatility : The South African Experience

Prior to President de Klerk's historic announcement on February 2 1990 of fundamental political change, South Africa was the subject of extreme economic and political isolation. As a result of this announcement, it would be expected that South Africa's financial markets transformed from a state of segmentation to a degree of integration in world makets. One means of assessing the possible effects of this major political change is by investigating stock market volatility.

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Paper provided by Melbourne - Centre in Finance in its series Papers with number 97-4.

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Length: 23 pages
Date of creation: 1997
Date of revision:
Handle: RePEc:fth:melrfi:97-4
Contact details of provider: Postal: Centre in Finance, Department of Economics and Finance, Faculty of Business, RMIT GPO Box 2476V Melbourne, Vic 3000 Australia.
Phone: +61 3 9925 5858
Fax: +61 3 9925 5986
Web page: http://www.rmit.edu.au/bus/ecofin

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  1. Tse, Y. K., 1991. "Stock returns volatility in the Tokyo stock exchange," Japan and the World Economy, Elsevier, vol. 3(3), pages 285-298, November.
  2. Kenneth R. French & James M. Poterba, 1990. "Were Japanese Stock Prices Too High?," NBER Working Papers 3290, National Bureau of Economic Research, Inc.
  3. Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
  4. Pagan, A.R. & Kearns, P., 1990. "Ustralian Stock Market Volatility: 1875-1987," RCER Working Papers 248, University of Rochester - Center for Economic Research (RCER).
  5. Brailsford, Timothy J. & Faff, Robert W., 1996. "An evaluation of volatility forecasting techniques," Journal of Banking & Finance, Elsevier, vol. 20(3), pages 419-438, April.
  6. 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.
  7. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-47, August.
  8. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
  9. Pagan, A.R. & Schwert, G.W., 1989. "Alternative Models For Conditional Stock Volatility," Papers 89-02, Rochester, Business - General.
  10. de Jong, Frank & Kemna, Angelien & Kloek, Teun, 1992. "A contribution to event study methodology with an application to the Dutch stock market," Journal of Banking & Finance, Elsevier, vol. 16(1), pages 11-36, February.
  11. Graham Barr & Jos Gerson & Brian Kantor, 1995. "Shareholders As Agents And Principals: The Case For South Africa'S Corporate Governance System," Journal of Applied Corporate Finance, Morgan Stanley, vol. 8(1), pages 1-32.
  12. Poon, Ser-Huang & Taylor, Stephen J., 1992. "Stock returns and volatility: An empirical study of the UK stock market," Journal of Banking & Finance, Elsevier, vol. 16(1), pages 37-59, February.
  13. Lee, John H H & King, Maxwell L, 1993. "A Locally Most Mean Powerful Based Score Test for ARCH and GARCH Regression Disturbances," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(1), pages 17-27, January.
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