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Pricing Efficiency of Nifty BeES in Bullish and Bearish Markets

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  • R. Shanmugham
  • Zabiulla

Abstract

This article examines the pricing efficiency of Nifty BeES in bullish and bearish market conditions using high frequency data for a period of seven years. It seeks to address three questions. First, does the portfolio manager of Nifty BeES follow its benchmark replication strategy across different market conditions? Second, whether the portfolio manager minimizes the portfolio return volatility relative to the benchmark volatility. Third, whether the magnitude of premiums/discounts varies in bullish and bearish market conditions. Our findings suggest a significant difference in alpha-generation abilities of fund manager between the two market conditions. Tracking error was found to be relatively high in bearish conditions. The average premium is higher in bearish markets characterized with highest volatility. On the other hand, the average discount is higher in bullish markets characterized with least volatility. The price divergence disappears within three days and the market price and the fund’s net asset value (NAV) get aligned due to arbitrage mechanism.

Suggested Citation

  • R. Shanmugham & Zabiulla, 2012. "Pricing Efficiency of Nifty BeES in Bullish and Bearish Markets," Global Business Review, International Management Institute, vol. 13(1), pages 109-121, February.
  • Handle: RePEc:sae:globus:v:13:y:2012:i:1:p:109-121
    DOI: 10.1177/097215091101300107
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    References listed on IDEAS

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    1. James M. Poterba & John B. Shoven, 2002. "Exchange-Traded Funds: A New Investment Option for Taxable Investors," American Economic Review, American Economic Association, vol. 92(2), pages 422-427, May.
    2. Michael C. Jensen, 1968. "The Performance Of Mutual Funds In The Period 1945–1964," Journal of Finance, American Finance Association, vol. 23(2), pages 389-416, May.
    3. Timothy Jares & Angeline Lavin, 2004. "Japan and Hong Kong Exchange-Traded Funds (ETFs): Discounts, Returns, and Trading Strategies," Journal of Financial Services Research, Springer;Western Finance Association, vol. 25(1), pages 57-69, February.
    4. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    5. Delcoure, Natalya & Zhong, Maosen, 2007. "On the premiums of iShares," Journal of Empirical Finance, Elsevier, vol. 14(2), pages 168-195, March.
    6. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    7. Ching-Chung Lin & Shih-Ju Chan & Hsinan Hsu, 2006. "Pricing efficiency of exchange traded funds in Taiwan," Journal of Asset Management, Palgrave Macmillan, vol. 7(1), pages 60-68, May.
    8. Edwin J. Elton, 2002. "Spiders: Where Are the Bugs?," The Journal of Business, University of Chicago Press, vol. 75(3), pages 453-472, July.
    9. Harper, Joel T. & Madura, Jeff & Schnusenberg, Oliver, 2006. "Performance comparison between exchange-traded funds and closed-end country funds," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(2), pages 104-122, April.
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