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Modeling Conditional Volatility Of Indian Banking Sector’S Stock Market Returns

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  • Amanjot SINGH

Abstract

The study attempts to capture conditional variance of Indian banking sector’s stock market returns across the years 2005 to 2015 by employing different GARCH based symmetric and asymmetric models. The results report existence of persistency as well as leverage effects in the banking sector return volatility. On an expected note, the global financial crisis increased conditional volatility in the Indian banking sector during the years 2007 to 2009; further evidenced from Markov regime switches. The exponential GARCH (EGARCH) model is found to be the best fit model capturing time-varying variance in the banking sector. The results support strong implications for the market participants at the time of devising portfolio management strategies. JEL Codes - G00; G11

Suggested Citation

  • Amanjot SINGH, 2017. "Modeling Conditional Volatility Of Indian Banking Sector’S Stock Market Returns," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 64(3), pages 325-338, September.
    • Handle: RePEc:aic:saebjn:v:64:y:2017:i:3:p:325-338:n:75
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    References listed on IDEAS

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    1. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
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    4. Karunanithy Banumathy & Ramachandran Azhagaiah, 2015. "Modelling Stock Market Volatility: Evidence from India," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 13(1 (Spring), pages 27-41.
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    More about this item

    Keywords

    banking sector; conditional volatility; GARCH; sectoral indices; variances;
    All these keywords.

    JEL classification:

    • G00 - Financial Economics - - General - - - General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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