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Arbitrage in Closed-end Funds: New Evidence

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Abstract

Arbitrage pressures that could equalize closed-end fund share prices with fund portfolio values appear to be largely absent in an extensive data set. Observed fund behavior violates the static arbitrage bounds of Gemmill and Thomas (2002) and is inconsistent with the dynamic arbitrage bounds of Pontiff (1996). Furthermore, Fama and French (1992) regressions run on arbitrage portfolios designed to profit from closed-end fund mispricings generate excess returns that are either significantly negative or insignificantly different from zero, suggesting that arbitrageurs lack a profit incentive. If arbitrage is absent, observed fund pricing behavior likely reflects changing investor sentiment about fund prospects.

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  • Flynn, Sean Masaki, 2004. "Arbitrage in Closed-end Funds: New Evidence," Vassar College Department of Economics Working Paper Series 57, Vassar College Department of Economics.
  • Handle: RePEc:vas:papers:57
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    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Sugato Chakravarty & Asani Sarkar, 1999. "Liquidity in U.S. fixed income markets: a comparison of the bid-ask spread in corporate, government and municipal bond markets," Staff Reports 73, Federal Reserve Bank of New York.
    3. Chen, Nai-fu & Kan, Raymond & Miller, Merton H, 1993. "Are the Discounts on Closed-End Funds a Sentiment Index?," Journal of Finance, American Finance Association, vol. 48(2), pages 795-800, June.
    4. De Long, J Bradford & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1990. "Noise Trader Risk in Financial Markets," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 703-738, August.
    5. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1991. "Investor Sentiment and the Closed-End Fund Puzzle," Journal of Finance, American Finance Association, vol. 46(1), pages 75-109, March.
    6. Gordon Gemmill & Dylan C. Thomas, 2002. "Noise Trading, Costly Arbitrage, and Asset Prices: Evidence from Closed‐end Funds," Journal of Finance, American Finance Association, vol. 57(6), pages 2571-2594, December.
    7. Pontiff, Jeffrey, 1997. "Excess Volatility and Closed-End Funds," American Economic Review, American Economic Association, vol. 87(1), pages 155-169, March.
    8. Zweig, Martin E, 1973. "An Investor Expectations Stock Price Predictive Model Using Closed-End Fund Premiums," Journal of Finance, American Finance Association, vol. 28(1), pages 67-78, March.
    9. Jeffrey Pontiff, 1996. "Costly Arbitrage: Evidence from Closed-End Funds," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(4), pages 1135-1151.
    10. 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.
    11. Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1990. "Closed-End Mutual Funds," Journal of Economic Perspectives, American Economic Association, vol. 4(4), pages 153-164, Fall.
    12. Eli Ofek & Matthew Richardson & Robert F. Whitelaw, 2003. "Limited Arbitrage and Short Sales Restrictions: Evidence from the Options Markets," NBER Working Papers 9423, National Bureau of Economic Research, Inc.
    13. Chen, Nai-fu & Kan, Raymond & Miller, Merton H, 1993. "Are the Discounts on Closed-End Funds a Sentiment Index? A Rejoinder," Journal of Finance, American Finance Association, vol. 48(2), pages 809-810, June.
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