Modeling Volatility in Emerging Stock Markets Of India And China
The study investigated the stock market volatility in the emerging stock markets of India and China using daily closing price from 1st January, 2005 to 12th May, 2009. The results detect the presence of non-linearity through BDSL test while conditional Heteroscedasticity is identified through ARCH-LM test. The findings reveal that the GARCH(1,1) model successfully captures nonlinearity and volatility clustering. The analysis suggests that the persistence of volatility in Chinese stock market is more than Indian stock market.
Volume (Year): 8 (2010)
Issue (Month): 1 (January)
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|Order Information:|| Postal: Managing Editor, Journal of Quantitative Economics, Indira Gandhi Institute of Development Research (IGIDR), Gen. A.K. Vaidya Marg, Goregaon (E), Mumbai 400 065 , INDIA|
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- Thierry Ane, 2006. "Short and long term components of volatility in Hong Kong stock returns," Applied Financial Economics, Taylor & Francis Journals, vol. 16(6), pages 439-460.
- T. Ane, 2006. "Short and long term components of volatility in Hong Kong stock returns," Post-Print hal-00170780, HAL.
- Nelson, Daniel B., 1990. "ARCH models as diffusion approximations," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 7-38.
- 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.
- Sunil Poshakwale & Victor Murinde, 2001. "Modelling the volatility in East European emerging stock markets: evidence on Hungary and Poland," Applied Financial Economics, Taylor & Francis Journals, vol. 11(4), pages 445-456.
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