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Volatility of Indian Stock Market-A Study of BSE Sensex


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1 Punjabi University, Patiala, India
     

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BSE Sensex is India’s benchmark index for Indian equity market. The present study attempts to analyse whether the Past Sensex returns has an explanatory power for today’s Sensex returns. Daily data of BSE closing prices from April 2000 to March 2015 has been used for the study. BSE Sensex returns have been estimated as the first difference of the log of the daily closing prices. GARCH (1, 1) has been developed to model the volatility of BSE Sensex returns. The results revealed that Past Sensex returns have GARCH effect in the today’s Sensex returns.

Keywords

Heteroscedasticity, ARCH, GARCH, Volatility, BSE Sensex, Stock Market Returns, Lagged Returns.
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  • Andersen, T.G., (1996) “Return Volatility and Trading Volume: An information flow interpretation of stochastic volatility”, Journal ofFinance, 51,169-204.

  • Al-KhouriRitab S. and Moh’d M. Ajlouni (2007) “Narrow Price Limit and Stock Price Volatility: Empirical Evidence from Amman Stock Exchange” International Research Journal of Finance and Economics 8; 163 180.

  • Bekaert, G. and G. Wu, (2000) “Asymmetric Volatility and Risk in Equity Markets”, The Review of Financial Studies, 13, 1-42.

  • Bollerslev, T. (1986), “Generalized Autoregressive Conditional Heteroscedasticity”, Journal of Econometrics, 307-327.

  • Chen, G.; Firth, M; and Rui, O.M. (2001), The Dynamic Relation between Stock Returns, Trading Volume and Volatility, Financial Review 36: 153-173.

  • De Medeiros, Otavio R. and Van Doornik, Bernardus F. N.,(2006) “The Empirical Relationship between Stock Returns, Return Volatility and Trading Volume in the Brazilian stock Market” Available at SSRN: http://ssrn.com/abstract=897340

  • Dhingra, V.S., Gandhi, S. and Bulsara, H.P. (2016), “Foreign institutional Investments in India: An Empirical Analysis of Dynamic Interactions with stock market return and volatility”, IIMB Management Review, Vol.28, pp. 212–224.

  • Dickey, D. A. & Fuller, W.A. (1979). Distribution of Estimators for Autoregressive Time Series with a Unit Root, Journal of the American Statistical Association, 74(366), 427-431.

  • Dickey, D. A. & Fuller, W.A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root, Econometrica, 49(4), 1057-1072.

  • Ding, Z., Granger, C.W.J. and Engle, R.F. (1993) A long memory property of Stock Market Returns and a new model, Journal of Empirical Finance, 1, 83–106.

  • De Goeij, P., &Marquering, W. (2004), “Modelling the conditional covariance between Stock and Bond returns: A multivariate GARCH approach” Journal of Financial Econometrics, 2(4), 531-564.

  • Floros, C. and Vougas, D.V. (2007), “Trading Volume and Returns Relationship in Greek Stock Index Futures Market: GARCH vs. GMM”, International Research Journal of Finance and Economics, Issue 12.

  • Foster, F.D., and S. Viswanathan, (1995), “Can speculative trading explain the volumevolatility relation?”, Journal of Business and Economics Statistics,13,379-396.

  • Garg, A. and Bodla, B.S. (2011), “Impact of the Foreign Institutional Investments on Stock Market: Evidence from India”, Indian Economic Review, Vol. 46, No. 2, pp. 303-322.

  • Glosten, L.R., R. Jagannathan, and D.E. Runkle, (1993), “On the relation between the expected value and the Volatility of the nominal excess returns on stocks”, Journal of Finance, 48, 1779- 1801.

  • Griffin, M., F. Nardari, and R. M. Stulz (2007) “Do Investors Trade More When Stocks Have Performed Well? Evidence from 46 Countries” Review of Financial Studies 20(3): 905 - 951.

  • Jennings, R. H., L.T. Starks, and J.C. Fellingham, (1981), “An equilibrium model of asset trading with sequential information arrival”, Journal of Finance, 36,143-161.

  • Jinho, B., Chang-Jin, K., & Nelson, C. R. (2007), “Why are stock returns and volatility negatively correlated? Journal of Empirical Finance, 14(1), 41-58.

  • Lee, C., and B. Swaminathan, (2000), “Price Momentum and Trading volume”, Journal of Finance,55, 2017—2069.

  • R.M. Stulz (1999), “Globalization, corporate finance and the cost of capital”, Journal of Applied Corporate Finance, Vol. 12, No. 3, pp. 8-25.

  • Ratner. M. and R.P.C. Leal (2001) “Stock Returns and Trading Volume: Evidence from the Emerging Markets of Latin America and Asia”, Journal of Emerging Markets 6(1), 5-22.

  • S. Ananthanarayanan, C. Krishnamurti, N. Sen (2009), “Foreign institutional investors and security returns: Evidence from Indian stock exchanges”, Paper presented at the Proceedings of the 7th INFINITI Conference on International Finance 2009-Credit Markets, Credit Institutions and Macroeconomic Volatility.

  • Schwert, G.W., (1990), “Stock Market Volatility”, Financial Analyst Journal, 46, 23-45.

  • Schwer t, G.W. (1989) “Why does market volatility change over time”, Journal of Finance, 5, 1115–53.

  • Sabri, Nidal Rashid, (2004), “Volatility and Market Crisis in Emerging Economies” Review of Accounting and Finance 3 (3); 59-83.

  • Sabri, Nidal Rashid (2008a) “Financial Markets and Institutions in the Arab Economy” , Nova Science Publishers, NY.

  • Sabri, Nidal Rashid (2008) ,” The Impact of Trading Volume on Stock Price Volatility in the Arab Economy”. Available at SSRN: http://ssrn.com/abstract=1097624

  • Smirlock, M., and Starks, L.T. (1988)An empirical analysis of the stock price-volume relationship. Journal of Banking and Finance 12: 31-41.

  • Torben G. Andersen, (1996), “Return Volatility and Trading Volume: An Information Flow Interpretation of Stochastic Volatility”, Journal of Finance, 51:1,169-204.

  • Y. Hamao, Mei J. (2001), “Living with the “enemy”: An analysis of foreign investment in the Japanese equity market”, Journal of International Money and Finance, Vol. 20, No. 5, pp. 715-735.

  • Zolotoy, Leon and Melenberg, Bertrand,(2007), “Trading Volume, Volatility and Return Dynamics: Individual and Cross-Market Analysis”, Available at SSRN: http://ssrn.com/abstract=1032193.

  • http://www.bseindia.com/indices/IndexArchiveData.aspx

  • http://www.moneycontrol.com/india/stockmarket/foreigninstitutionalinvestors/12/57/activity/MF/201004

  • http://www.moneycontrol.com/


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  • Volatility of Indian Stock Market-A Study of BSE Sensex

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Authors

Kavita
Punjabi University, Patiala, India

Abstract


BSE Sensex is India’s benchmark index for Indian equity market. The present study attempts to analyse whether the Past Sensex returns has an explanatory power for today’s Sensex returns. Daily data of BSE closing prices from April 2000 to March 2015 has been used for the study. BSE Sensex returns have been estimated as the first difference of the log of the daily closing prices. GARCH (1, 1) has been developed to model the volatility of BSE Sensex returns. The results revealed that Past Sensex returns have GARCH effect in the today’s Sensex returns.

Keywords


Heteroscedasticity, ARCH, GARCH, Volatility, BSE Sensex, Stock Market Returns, Lagged Returns.

References





DOI: https://doi.org/10.25089/MERI%2F2017%2Fv11%2Fi1%2F164013