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Estimating Hedging Effectiveness Using Variance Reduction And Risk-Return Approaches: Evidence From National Stock Exchange Of India

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  • Mandeep Kaur
  • Kapil Gupta

    (I.K. Gujral Punjab Technical University, India
    I.K. Gujral Punjab Technical University, India)

Abstract

The present study examines hedging effectiveness of futures contracts in India by using variance reduction approach and risk-return approach by applying eight econometric models. It is observed that OLS hedge ratio generates highest hedging effectiveness using variance reduction approach, whereas Naïve hedge ratio generates highest hedging effectiveness using risk-return approach. Overall, it is observed that time-invariant hedging model generates superior hedging effectiveness as compared to time-variant hedging model.

Suggested Citation

  • Mandeep Kaur & Kapil Gupta, 2019. "Estimating Hedging Effectiveness Using Variance Reduction And Risk-Return Approaches: Evidence From National Stock Exchange Of India," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 8(4), pages 149-169.
    • Handle: RePEc:cpn:umkcjf:v:8:y:2019:i:4:p:149-169
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    References listed on IDEAS

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    1. Leland L. Johnson, 1960. "The Theory of Hedging and Speculation in Commodity Futures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 27(3), pages 139-151.
    2. G. Lypny & M. Powalla, 1998. "The hedging effectiveness of DAX futures," The European Journal of Finance, Taylor & Francis Journals, vol. 4(4), pages 345-355.
    3. Hou, Yang & Li, Steven, 2013. "Hedging performance of Chinese stock index futures: An empirical analysis using wavelet analysis and flexible bivariate GARCH approaches," Pacific-Basin Finance Journal, Elsevier, vol. 24(C), pages 109-131.
    4. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    5. Howard, Charles T. & D'Antonio, Louis J., 1984. "A Risk-Return Measure of Hedging Effectiveness," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 19(1), pages 101-112, March.
    6. Christos Floros & Dimitrios Vougas, 2004. "Hedge ratios in Greek stock index futures market," Applied Financial Economics, Taylor & Francis Journals, vol. 14(15), pages 1125-1136.
    7. Donald Lien & Y. K. Tse & Albert Tsui, 2002. "Evaluating the hedging performance of the constant-correlation GARCH model," Applied Financial Economics, Taylor & Francis Journals, vol. 12(11), pages 791-798.
    8. K. Kiran Kumar & Shreya Bose, 2019. "Hedging Effectiveness Of Cross-Listed Nifty Index Futures," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 1-12, June.
    9. Ming Jing Yang & Yi-Chuan Lai, 2009. "An out-of-sample comparative analysis of hedging performance of stock index futures: dynamic versus static hedging," Applied Financial Economics, Taylor & Francis Journals, vol. 19(13), pages 1059-1072.
    10. Pradhan Kailash, 2011. "The Hedging Effectiveness of Stock Index Futures: Evidence for the S&P CNX Nifty Index Traded in India," South East European Journal of Economics and Business, Sciendo, vol. 6(1), pages 111-123, April.
    11. Phil Holmes, 1995. "Ex ante hedge ratios and the hedging effectiveness of the FTSE-100 stock index futures contract," Applied Economics Letters, Taylor & Francis Journals, vol. 2(3), pages 56-59.
    12. Ederington, Louis H, 1979. "The Hedging Performance of the New Futures Markets," Journal of Finance, American Finance Association, vol. 34(1), pages 157-170, March.
    13. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    14. Elizabeth A. Maharaj & Imad Moosa & Jonathan Dark & Param Silvapulle, 2008. "Wavelet Estimation of Asymmetric Hedge Ratios: Does Econometric Sophistication Boost Hedging Effectiveness?," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 7(3), pages 213-230, December.
    15. Hsiang-Tai Lee & Jonathan Yoder, 2007. "A bivariate Markov regime switching GARCH approach to estimate time varying minimum variance hedge ratios," Applied Economics, Taylor & Francis Journals, vol. 39(10), pages 1253-1265.
    16. Yudong Wang & Chongfeng Wu & Li Yang, 2015. "Hedging with Futures: Does Anything Beat the Naïve Hedging Strategy?," Management Science, INFORMS, vol. 61(12), pages 2870-2889, December.
    17. Donald Lien, 2005. "A note on the superiority of the OLS hedge ratio," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(11), pages 1121-1126, November.
    18. Yiu‐Kuen Tse & Wai‐Sum Chan, 2010. "The Lead–Lag Relation Between The S&P500 Spot And Futures Markets: An Intraday‐Data Analysis Using A Threshold Regression Model," The Japanese Economic Review, Japanese Economic Association, vol. 61(1), pages 133-144, March.
    19. Mary Lindahl, 1991. "Risk‐return hedging effectiveness measures for stock index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(4), pages 399-409, August.
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    Cited by:

    1. Sharma, Udayan & Karmakar, Madhusudan, 2023. "Measuring minimum variance hedging effectiveness: Traditional vs. sophisticated models," International Review of Financial Analysis, Elsevier, vol. 87(C).

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