IDEAS home Printed from https://ideas.repec.org/p/not/notecp/11-05.html
   My bibliography  Save this paper

Excess Volatility and Closed-End Fund Discounts

Author

Listed:
  • Michael Bleaney
  • R. Todd Smith

Abstract

It is shown that, with fixed transaction costs in the market for risky assets, investors with wealth below a certain threshold will hold pooled index funds that charge a proportional fee, rather than the market portfolio chosen by wealthier investors. If a portfolio of closed-end index funds yields greater volatility of returns to investors than open-end index funds, and charges the same fees, the closed-end funds need to trade at a discount in equilibrium to attract buyers. The same applies to actively managed funds if higher fees fully reflect extra expected returns from the managers’ skill. In this case excess volatility is a sufficient condition for closed-end fund discounts. It is unnecessary for discount risk to be systematic.

Suggested Citation

  • Michael Bleaney & R. Todd Smith, 2011. "Excess Volatility and Closed-End Fund Discounts," Discussion Papers 11/05, University of Nottingham, School of Economics.
  • Handle: RePEc:not:notecp:11/05
    as

    Download full text from publisher

    File URL: https://www.nottingham.ac.uk/economics/documents/discussion-papers/11-05.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Michael Bleaney & R. Smith, 2010. "Managerial skill and closed-end fund discounts," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 24(4), pages 441-451, December.
    2. Elton, Edwin J & Gruber, Martin J & Busse, Jeffrey A, 1998. "Do Investors Care about Sentiment?," The Journal of Business, University of Chicago Press, vol. 71(4), pages 477-500, October.
    3. Richard W. Sias & Laura T. Starks & Seha M. Tiniç, 2001. "Is Noise Trader Risk Priced?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(3), pages 311-329, September.
    4. 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.
    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. Robert Ferguson & Dean Leistikow, 2004. "Closed‐End Fund Discounts and Expected Investment Performance," The Financial Review, Eastern Finance Association, vol. 39(2), pages 179-202, May.
    7. Gordon Gemmill & Dylan C. Thomas, 2006. "The Impact of Corporate Governance on Closed‐end Funds," European Financial Management, European Financial Management Association, vol. 12(5), pages 725-746, November.
    8. Jonathan B. Berk & Richard Stanton, 2007. "Managerial Ability, Compensation, and the Closed‐End Fund Discount," Journal of Finance, American Finance Association, vol. 62(2), pages 529-556, April.
    9. Pontiff, Jeffrey, 1997. "Excess Volatility and Closed-End Funds," American Economic Review, American Economic Association, vol. 87(1), pages 155-169, March.
    10. Steven A. Ross, 2002. "Neoclassical Finance, Alternative Finance and the Closed End Fund Puzzle," European Financial Management, European Financial Management Association, vol. 8(2), pages 129-137, June.
    11. Edwin J. Elton & Martin J. Gruber & Jeffrey A. Busse, 1998. "Do Investors Care About Sentiment?," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-028, New York University, Leonard N. Stern School of Business-.
    12. Sias, Richard W & Starks, Laura T & Tinic, Seha M, 2001. "Is Noise Trader Risk Priced?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 24(3), pages 311-329, Fall.
    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.
    14. Elroy Dimson & Carolina Minio‐Kozerski, 1999. "Closed‐End Funds: A Survey," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 8(2), pages 1-41, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lenkey, Stephen L., 2015. "The closed-end fund puzzle: Management fees and private information," Journal of Financial Intermediation, Elsevier, vol. 24(1), pages 112-129.
    2. Prashant Das & Julia Freybote & Gianluca Marcato, 2015. "An Investigation into Sentiment-Induced Institutional Trading Behavior and Asset Pricing in the REIT Market," The Journal of Real Estate Finance and Economics, Springer, vol. 51(2), pages 160-189, August.
    3. Pablo Calafiore & Gökçe Soydemir & Rahul Verma, 2010. "The Impact of Business and Consumer Sentiment on Stock Market Returns: Evidence from Brazil," Chapters, in: Brian Bruce (ed.), Handbook of Behavioral Finance, chapter 18, Edward Elgar Publishing.
    4. Verma, Rahul & Soydemir, Gökçe, 2009. "The impact of individual and institutional investor sentiment on the market price of risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 1129-1145, August.
    5. Dominic Gasbarro & Richard D. Johnson & J. Kenton Zumwalt, 2003. "Evidence on the Mean‐Reverting Tendencies of Closed‐End Fund Discounts," The Financial Review, Eastern Finance Association, vol. 38(2), pages 273-291, May.
    6. Emily J. Huang, 2015. "The role of institutional investors and individual investors in financial markets: Evidence from closed‐end funds," Review of Financial Economics, John Wiley & Sons, vol. 26(1), pages 1-11, September.
    7. Flynn, Sean M., 2005. "Sentiment and the Interpretation of News about Fundamentals," Vassar College Department of Economics Working Paper Series 72, Vassar College Department of Economics.
    8. Huang, Emily J., 2015. "The role of institutional investors and individual investors in financial markets: Evidence from closed-end funds," Review of Financial Economics, Elsevier, vol. 26(C), pages 1-11.
    9. Haritha P H & Abdul Rishad, 2020. "An empirical examination of investor sentiment and stock market volatility: evidence from India," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-15, December.
    10. Flynn, Sean Masaki, 2012. "Noise-trading, costly arbitrage, and asset prices: Evidence from US closed-end funds," Journal of Financial Markets, Elsevier, vol. 15(1), pages 108-125.
    11. Alexander, Gordon J. & Peterson, Mark A., 2017. "Short selling and the pricing of closed-end funds," Journal of Financial Markets, Elsevier, vol. 33(C), pages 124-142.
    12. Huerta, Daniel & Egly, Peter V. & Escobari, Diego, 2015. "The Liquidity Crisis, Investor Sentiment, and REIT Returns and Volatility," EconStor Preprints 123499, ZBW - Leibniz Information Centre for Economics.
    13. Sayim, Mustafa & Rahman, Hamid, 2015. "An examination of U.S. institutional and individual investor sentiment effect on the Turkish stock market," Global Finance Journal, Elsevier, vol. 26(C), pages 1-17.
    14. 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.
    15. Arquette, Gregory C. & Brown Jr., William O. & Burdekin, Richard C.K., 2008. "US ADR and Hong Kong H-share discounts of Shanghai-listed firms," Journal of Banking & Finance, Elsevier, vol. 32(9), pages 1916-1927, September.
    16. Deven Bathia & Don Bredin, 2013. "An examination of investor sentiment effect on G7 stock market returns," The European Journal of Finance, Taylor & Francis Journals, vol. 19(9), pages 909-937, October.
    17. Mohamed Ayadi & Hatem Ben-Ameur & Skander Lazrak & Yue Wang, 2013. "Canadian Investors and the Discount on Closed-End Funds," Journal of Financial Services Research, Springer;Western Finance Association, vol. 43(1), pages 69-98, February.
    18. Michael Bleaney & R. Todd Smith, 2008. "Risk, Managerial Skill and Closed-End Fund Discounts," Discussion Papers 08/10, University of Nottingham, School of Economics.
    19. Timothy R. Burch & Douglas R. Emery & Michael E. Fuerst, 2003. "What Can “Nine‐Eleven” Tell Us about Closed‐end Fund Discounts and Investor Sentiment?," The Financial Review, Eastern Finance Association, vol. 38(4), pages 515-529, November.
    20. Burdekin, Richard C.K. & Redfern, Luke, 2009. "Sentiment effects on Chinese share prices and savings deposits: The post-2003 experience," China Economic Review, Elsevier, vol. 20(2), pages 246-261, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:not:notecp:11/05. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/denotuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.