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GARCH based VaR estimation: An empirical evidence from BRICS stock markets

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  • Siva Kiran GUPTHA. K

    (Sri Sathya Sai Institute of Higher Learning, India)

  • Prabhakar RAO. R

    (Sri Sathya Sai Institute of Higher Learning, India)

Abstract

This paper examines the adequacy of GARCH based VaR models in risk estimation for BRICS emerging stock markets. This study uses the daily data of stock indices in these markets for the period 25th September 1997 to 30th March 2018. Here we employ SGARCH, EGARCH and GJR-GARCH models to test volatility persistence and leverage effect of these markets. It is observed that the volatility persistence and leverage effect is present in all these markets. In GARCH estimation the error distribution - students t is found to be suitable for Brazil, Russia, India, and South Africa whereas GED for China. From the backtesting results of Kupiec and Christoffersen test, it is found that these models are appropriate for Brazil, Russia, India, and South Africa in risk estimation at 99% one day VaR.

Suggested Citation

  • Siva Kiran GUPTHA. K & Prabhakar RAO. R, 2019. "GARCH based VaR estimation: An empirical evidence from BRICS stock markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(4(621), W), pages 201-218, Winter.
    • Handle: RePEc:agr:journl:v:xxvi:y:2019:i:4(621):p:201-218
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    References listed on IDEAS

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