Dynamics of Time Varying Volatility of Indian Stock Market: Evidence from BSE & CNX Nifty

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Abstract

Volatility measures the variability and ascertains the unpredictable and uncertain behavior of asset price. As a concept and phenomenon it has remained central area of research in modern financial markets and academics. The importance of volatility in stock market can’t be undermined in financial economics, as it plays a significant role in investment and risk management decisions. This paper attempts to examine the dynamics of time varying volatility of Indian stock market with reference to BSE and S&P CNX Nifty. Using daily observation data been taken for period of 2000-2014. To examine the characteristics of Indian Stock Market Volatility GARCH models are being employed. EGARCH and TARCH are employed to look possibility of Asymmetry or Leverage effects in the market.

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References

1. Srinivasan.P and Ibrahim, P. (2010), “Forecasting Stock Market Volatility of BSE-30 Index Using GARCH Models,” Asia Pacific Journal of Management Research and Innovation, Vol 6 (1), pp-47-60.

2. Srivastava Aman. (2008), “Volatility of Indian Stock Market: An Empirical Evidence, ”Asia Pacific Journal of Management Research and Innovation, Vol 4 (4), pp-53-61.

3. Karmarkar Madhusudan. (2007), “Asymmetric Volatility and Risk Return Relationship in the Indian Stock Market,” South Asian Economic Journal, Vol 8(1), pp- 99-116.

4. Srinivasan, K. Deo, M. and Murugesan, B. (2010), “Testin Alternative Models for Forecasting Volatility in Stock Markets,” Asia Pacific Journal of Management Research and Innovation, Vol 6 (4), pp-95-104.

5. Krishanan, R. and Mukherjee, C. (2010), “Volatility in Indian Stock Market: Journal of Emerging Market Finance, Vol 9 (1), pp-71-93.

6. Kumar, R. and Dhankar, R.S. (2011), “Non Linearity and Heteroskedasticity Effects on Stock Market Volatility: A Case of U.S. Stock Market,” Global Business Review, Vol 12 (2), pp-319-329.

7. Rastogi, S. and Srivastava, V.K. (2011), “A Comparitive Study of Conditional Volatility of Indian and U.S. Stock Markets using GARCH (1, 1) Models,” Asia Pacific Journal of Management Research and Innovation, Vol 7 (1), pp-92-101.

8. Selvam, M. Raja.M and Yezhmozhi, P. (2007), “Forecasting the Time Volatility of Emerging Stock Market Index,” Asia Pacific Journal of Management Research and Innovation, Vol 3 (2), pp-38-51.

9. Jayasuriya, S. Shambora, W. and Rossiter, R. (2009), “Asymmetric Volatility in Emerging and Mature Markets,” Journal of Emerging Market Finance, Vol 8 (1), pp-25-43.

10. Xu, J. (1999), “Modelling Shanghai Stock Market Volatility,” Annals of Operation Research, Vol 87, pp-141-152.

11. Apergis, N. and Eleptheriou, S. (2001), “Stock Market Volatility: Evidence from Athens Stock Market Index,” Journal of Economics and Finance, Vol 25(1), pp-50-61.

12. Kuttu, S. (2014), “Return and Volatility Dynamics among four African Equity Markets: A Multivariate VAR-EGARCH Analysis,” Global Finance Journal, Vol 25, pp-59-64.

13. Joshi, P. (2010), “Modelling Volatility in Emerging Stock Markets of India and China”, Journal of Quantitative Economics, Vol 8(1), pp-59-64.

14. Goudarzi, H. and Ramanarayan, C.S., “Modelling and Estimation of Volatility in the Indian Stock Market,” International Journalof Business and Management,Vol 5(2).

15. Gunasinghe, W.I.C.S., “Behaviour of Stock Markets in South Asia: An Econometric Investigation,” South Asia Economic Journal, Vol 6, pp-165-184.

16. Jingle, X. (2011), “The Research on Stock Market Volatility in China Based on theModel of ARIMA-EGARCH-M (1, 1) and ARIMA-TARCH-M (1, 1),” Education and Management Communication in Computer and Information Science, Vol (210), pp-521-527

17. Canarella, G. and Pollard, S.K. (2007), “A Switching ARCH (SWARCH) model of Stock Market Volatility: Some Evidence from Latin America,” International Review of Economics, Vol 54(4), pp- 445-462.

18. Berument, H. and Kiymaz, H. (2001), “The Day of the Week Effect on Stock Market Volatility,” Journal of Economics and Finance, Vol 25(2), pp-181-193.

19. Curto, J.D., Pinto, J.C. and Tavares, G.N. (2009), “Modelling Stock Market’s Volatility using GARCH Models with Student’s T and Stable Paretion Distributions,” Statistical Papers, Vol50(2), pp-311-321.

20. Binder, J.J and Merges, M.J (2001), “Stock Market Volatility and Economic Factors,” Review of Quantitative Finance and Accounting, Vol 17(1) pp-5-26.11Dynamics of Time Varying Volatility of Indian Stock Market: Evidence from BSE & CNX Nifty.