Forecasting Performance of Various Volatility Models on Intra-Day Equity Price in the Indian Stock Market

Authors

  •   Asad Ahmad Assistant Professor, Department of Mathematics, TechWords W.G.V.S. Group of Institutions, Manglour, Roorkee, Uttarakhand – 247667
  •   U. S. Rana Associate Professor, Department of Mathematics, D.A.V (P.G) College, Dehradun -248001, Uttarakhand

Keywords:

Volatility Forecasting

, Conditional Variance, Symmetric and Asymmetric GARCH Models, Error Statistics

62H12

, 62H30

Abstract

In this paper, an attempt has been made to determine the forecasting performance of symmetric and asymmetric volatility forecasting models in terms of error estimators using the intra-day of highly liquid stocks in the Indian stock market. Superiority of forecasting performance of asymmetric GARCH model over symmetric model has been established.

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Published

2012-06-01

How to Cite

Ahmad, A., & Rana, U. S. (2012). Forecasting Performance of Various Volatility Models on Intra-Day Equity Price in the Indian Stock Market. Indian Journal of Finance, 6(6), 21–29. Retrieved from https://indianjournalofcomputerscience.com/index.php/IJF/article/view/72411

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References

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