IDEAS home Printed from https://ideas.repec.org/a/mfj/journl/v18y2014i1-2p85-138.html
   My bibliography  Save this article

Did Behavioral Mutual Funds Exploit Market Inefficiencies During or After the Financial Crisis?

Author

Listed:
  • Nikolaos Philippas

    (University of Piraeus, Greece)

Abstract

This study examines the performance of mutual funds that employ investment strategies based on the principles of behavioral finance, collectively known as “behavioral mutual funds”. A series of performance measures is employed in order to test whether behavioral mutual funds outperform the stock market, their benchmarks or passively managed index funds, using monthly data for the period January 2007-March 2013. Results from the full sample and subperiod analysis show that behavioral mutual funds actually exhibited poor performance, both during the recent financial crisis and in its aftermath, rejecting the conjecture that the crisis period would provide an ideal environment for their strategies to be profitable by exploiting market inefficiencies and investors behavioral biases.

Suggested Citation

  • Nikolaos Philippas, 2014. "Did Behavioral Mutual Funds Exploit Market Inefficiencies During or After the Financial Crisis?," Multinational Finance Journal, Multinational Finance Journal, vol. 18(1-2), pages 85-138, March - J.
    • Handle: RePEc:mfj:journl:v:18:y:2014:i:1-2:p:85-138
    as

    Download full text from publisher

    File URL: http://www.mfsociety.org/modules/modDashboard/uploadFiles/journals/MJ~0~p1958qqkal1djpei0191a5vqmc4.pdf
    Download Restriction: no
    File URL: http://www.mfsociety.org/modules/modDashboard/uploadFiles/journals/googleScholar/856.html
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    2. Markus K. Brunnermeier & Lasse Heje Pedersen, 2009. "Market Liquidity and Funding Liquidity," Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2201-2238, June.
    3. Panayotis Alexakis & Ioannis Tsolas, 2011. "Appraisal of Mutual Equity Fund Performance Using Data Envelopment Analysis," Multinational Finance Journal, Multinational Finance Journal, vol. 15(3-4), pages 273-296, September.
    4. Gregory W. Brown & Michael T. Cliff, 2005. "Investor Sentiment and Asset Valuation," The Journal of Business, University of Chicago Press, vol. 78(2), pages 405-440, March.
    5. Russ Wermers, 2000. "Mutual Fund Performance: An Empirical Decomposition into Stock‐Picking Talent, Style, Transactions Costs, and Expenses," Journal of Finance, American Finance Association, vol. 55(4), pages 1655-1695, August.
    6. Denis Gromb & Dimitri Vayanos, 2010. "Limits of Arbitrage: The State of the Theory," NBER Working Papers 15821, National Bureau of Economic Research, Inc.
    7. repec:mfj:journl:v:16:y:2012:i:3-4:p:273-296 is not listed on IDEAS
    8. Isaac T. Tabner, 2009. "Benchmark Concentration: Capitalization Weights Versus Equal Weights in the FTSE 100 Index," Multinational Finance Journal, Multinational Finance Journal, vol. 13(3-4), pages 209-228, September.
    9. Malcolm Baker & Jeffrey Wurgler, 2007. "Investor Sentiment in the Stock Market," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 129-152, Spring.
    10. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    11. 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.
    12. Jonathan B. Berk & Richard C. Green, 2004. "Mutual Fund Flows and Performance in Rational Markets," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1269-1295, December.
    13. Brunnermeier, Markus K., 2001. "Asset Pricing under Asymmetric Information: Bubbles, Crashes, Technical Analysis, and Herding," OUP Catalogue, Oxford University Press, number 9780198296980, Decembrie.
    14. Dimitrios V Kousenidis & Christos Negakis, 2013. "The Underperformance of Young Closed-End Funds in Greece," Multinational Finance Journal, Multinational Finance Journal, vol. 17(1-2), pages 107-148, March - J.
    15. Denis Gromb & Dimitri Vayanos, 2010. "Limits of Arbitrage," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 251-275, December.
    16. Babalos, Vassilios & Philippas, Nikolaos & Doumpos, Michael & Zompounidis, Constantin, 2011. "Mutual funds performance appraisal using stochastic multicriteria acceptability analysis," MPRA Paper 37953, University Library of Munich, Germany.
    17. Shin, Hyun Song, 2010. "Risk and Liquidity," OUP Catalogue, Oxford University Press, number 9780199546367, Decembrie.
    18. George M. Constantinides, 1997. "Transaction Costs and the Pricing of Financial Assets," Multinational Finance Journal, Multinational Finance Journal, vol. 1(2), pages 93-99, June.
    19. Alok Kumar & Charles M.C. Lee, 2006. "Retail Investor Sentiment and Return Comovements," Journal of Finance, American Finance Association, vol. 61(5), pages 2451-2486, October.
    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. David C. Ling & Andy Naranjo & Benjamin Scheick, 2014. "Investor Sentiment, Limits to Arbitrage and Private Market Returns," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 42(3), pages 531-577, September.
    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. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2019. "Firm-specific investor sentiment and daily stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    4. Hu, May & Chao, Chi-Chur & Lim, Jin Hao, 2016. "Another explanation of the mutual fund fee puzzle," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 134-152.
    5. Jacobs, Heiko, 2015. "What explains the dynamics of 100 anomalies?," Journal of Banking & Finance, Elsevier, vol. 57(C), pages 65-85.
    6. Saumya Ranjan Dash & Jitendra Mahakud, 2013. "Investor Sentiment and Stock Return: Do Industries Matter?," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(3), pages 315-349, August.
    7. Jawad M. Addoum & Alok Kumar, 2016. "Political Sentiment and Predictable Returns," Review of Financial Studies, Society for Financial Studies, vol. 29(12), pages 3471-3518.
    8. Liston, Daniel Perez, 2016. "Sin stock returns and investor sentiment," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 63-70.
    9. Wenjie Ding & Khelifa Mazouz & Qingwei Wang, 2019. "Investor sentiment and the cross-section of stock returns: new theory and evidence," Review of Quantitative Finance and Accounting, Springer, vol. 53(2), pages 493-525, August.
    10. Cakici, Nusret & Zaremba, Adam, 2022. "Salience theory and the cross-section of stock returns: International and further evidence," Journal of Financial Economics, Elsevier, vol. 146(2), pages 689-725.
    11. Hou, Yang & Meng, Jiayin, 2018. "The momentum effect in the Chinese market and its relationship with the simultaneous and the lagged investor sentiment," MPRA Paper 94838, University Library of Munich, Germany.
    12. Li, Jinfang, 2014. "Multi-period sentiment asset pricing model with information," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 118-130.
    13. Hanauer, Matthias X. & Lesnevski, Pavel & Smajlbegovic, Esad, 2023. "Surprise in short interest," Journal of Financial Markets, Elsevier, vol. 65(C).
    14. Chung, San-Lin & Hung, Chi-Hsiou & Yeh, Chung-Ying, 2012. "When does investor sentiment predict stock returns?," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 217-240.
    15. Wang, Wenzhao & Duxbury, Darren, 2021. "Institutional investor sentiment and the mean-variance relationship: Global evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 415-441.
    16. Ramiah, Vikash & Xu, Xiaoming & Moosa, Imad A., 2015. "Neoclassical finance, behavioral finance and noise traders: A review and assessment of the literature," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 89-100.
    17. Zhou, Liyun & Yang, Chunpeng, 2019. "Stochastic investor sentiment, crowdedness and deviation of asset prices from fundamentals," Economic Modelling, Elsevier, vol. 79(C), pages 130-140.
    18. Baker, Malcolm & Wurgler, Jeffrey & Yuan, Yu, 2012. "Global, local, and contagious investor sentiment," Journal of Financial Economics, Elsevier, vol. 104(2), pages 272-287.
    19. Di, Li & Shaiban, Mohammed Sharaf & Hasanov, Akram Shavkatovich, 2021. "The power of investor sentiment in explaining bank stock performance: Listed conventional vs. Islamic banks," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    20. Li, Jinfang, 2022. "The sentiment pricing dynamics with short-term and long-term learning," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).

    More about this item

    Keywords

    behavioral mutual funds; financial crisis; market inefficiencies; performance evaluation;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    Statistics

    Access and download statistics

    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:mfj:journl:v:18:y:2014:i:1-2:p:85-138. 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: Theodossiou Panayiotis (email available below). General contact details of provider: https://edirc.repec.org/data/mfsssea.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.