IDEAS home Printed from https://ideas.repec.org/a/pal/assmgt/v18y2017i1d10.1057_s41260-016-0027-2.html
   My bibliography  Save this article

Asset valuation impact of investor sentiment: A revised Fama–French five-factor model

Author

Listed:
  • Abderrazak Dhaoui

    (University of Sousse)

  • Nesrine Bensalah

    (University of Sousse)

Abstract

ABSTRACT Using the US stock market (NYSE) data, this paper investigates the asset valuation predictive power of investor sentiment. For this purpose, we conducted a revised Fama and French five-factor model by incorporating two additional variables. Moreover, we consider three indicators to classify objectively the selected portfolios, namely the value (book-to-market), the profitability, and the investment. Empirical findings confirm the validity of the standard Fama and French five-factor model in predicting the expected returns. The results show, especially, that the revised model incorporating investor sentiment index performs better than the expected returns. This can be with great strategic implication. Decisions makers are incited, indeed, to incorporate psychological aspect of investors in order to know how the economy really works. In other words, decision makers are recommended to understand how the asset value behaves if investors are not fully rational.

Suggested Citation

  • Abderrazak Dhaoui & Nesrine Bensalah, 2017. "Asset valuation impact of investor sentiment: A revised Fama–French five-factor model," Journal of Asset Management, Palgrave Macmillan, vol. 18(1), pages 16-28, January.
    • Handle: RePEc:pal:assmgt:v:18:y:2017:i:1:d:10.1057_s41260-016-0027-2
    DOI: 10.1057/s41260-016-0027-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41260-016-0027-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41260-016-0027-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. Carhart, Mark M, 1997. "On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
    3. 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.
    4. Aharoni, Gil & Grundy, Bruce & Zeng, Qi, 2013. "Stock returns and the Miller Modigliani valuation formula: Revisiting the Fama French analysis," Journal of Financial Economics, Elsevier, vol. 110(2), pages 347-357.
    5. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
    6. De Bondt, Werner F M & Thaler, Richard H, 1987. "Further Evidence on Investor Overreaction and Stock Market Seasonalit y," Journal of Finance, American Finance Association, vol. 42(3), pages 557-581, July.
    7. Kent D. Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 2001. "Overconfidence, Arbitrage, and Equilibrium Asset Pricing," Journal of Finance, American Finance Association, vol. 56(3), pages 921-965, June.
    8. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    9. Haruvy, Ernan & Stahl, Dale O. & Wilson, Paul W., 1999. "Evidence for optimistic and pessimistic behavior in normal-form games," Economics Letters, Elsevier, vol. 63(3), pages 255-259, June.
    10. De Bondt, Werner F M & Thaler, Richard, 1985. "Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
    11. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    12. Andrew R. Jackson, 2005. "Trade Generation, Reputation, and Sell‐Side Analysts," Journal of Finance, American Finance Association, vol. 60(2), pages 673-717, April.
    13. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    14. Brown, Gregory W. & Cliff, Michael T., 2004. "Investor sentiment and the near-term stock market," Journal of Empirical Finance, Elsevier, vol. 11(1), pages 1-27, January.
    15. Abderrazak Dhaoui & Saad Bourouis & Melek Acar Boyacioglu, 2013. "The Impact Of Investor Psychology On Stock Markets: Evidence From France," Journal of Academic Research in Economics, Spiru Haret University, Faculty of Accounting and Financial Management Constanta, vol. 5(1 (June)), pages 35-59.
    16. Abderrazak Dhaoui & Naceur Khraief, 2014. "Does Human Psychology Drive Financial Markets? Evidence from International Markets," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 2(3), pages 100-108, March.
    17. 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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Matthew Muntifering, 2021. "Air pollution, investor sentiment and excessive returns," Journal of Asset Management, Palgrave Macmillan, vol. 22(2), pages 110-119, March.
    2. Li, Zhuolei & Diao, Xundi & Wu, Chongfeng, 2022. "The influence of mobile trading on return dispersion and herding behavior," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).

    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. Rocciolo, Francesco & Gheno, Andrea & Brooks, Chris, 2022. "Explaining abnormal returns in stock markets: An alpha-neutral version of the CAPM," International Review of Financial Analysis, Elsevier, vol. 82(C).
    2. Virk, Nader Shahzad & Butt, Hilal Anwar, 2022. "Asset pricing anomalies: Liquidity risk hedgers or liquidity risk spreaders?," International Review of Financial Analysis, Elsevier, vol. 81(C).
    3. Ali Shaddady & Mohammed Alsaggaf, 2020. "Issues that Matter When Behavioral Finance Factors Drive the Largest Initial Public Offering in the Saudi Financial Market," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 106-117.
    4. Keunbae Ahn, 2021. "Predictable Fluctuations in the Cross-Section and Time-Series of Asset Prices," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2021, March.
    5. Bathia, Deven & Bredin, Don, 2018. "Investor sentiment: Does it augment the performance of asset pricing models?," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 290-303.
    6. 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.
    7. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, June.
    8. Szymon Lis, 2022. "Investor Sentiment in Asset Pricing Models: A Review," Working Papers 2022-14, Faculty of Economic Sciences, University of Warsaw.
    9. Ni, Zhong-Xin & Wang, Da-Zhong & Xue, Wen-Jun, 2015. "Investor sentiment and its nonlinear effect on stock returns—New evidence from the Chinese stock market based on panel quantile regression model," Economic Modelling, Elsevier, vol. 50(C), pages 266-274.
    10. Schwert, G. William, 2003. "Anomalies and market efficiency," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 15, pages 939-974, Elsevier.
    11. Lu Zhang, 2017. "The Investment CAPM," European Financial Management, European Financial Management Association, vol. 23(4), pages 545-603, September.
    12. Deven Bathia & Don Bredin & Dirk Nitzsche, 2016. "International Sentiment Spillovers in Equity Returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 332-359, October.
    13. Daniel, Kent & Hirshleifer, David & Teoh, Siew Hong, 2002. "Investor psychology in capital markets: evidence and policy implications," Journal of Monetary Economics, Elsevier, vol. 49(1), pages 139-209, January.
    14. 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.
    15. 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.
    16. David Hirshleife, 2015. "Behavioral Finance," Annual Review of Financial Economics, Annual Reviews, vol. 7(1), pages 133-159, December.
    17. Stambaugh, Robert F. & Yu, Jianfeng & Yuan, Yu, 2012. "The short of it: Investor sentiment and anomalies," Journal of Financial Economics, Elsevier, vol. 104(2), pages 288-302.
    18. Hu, Wei & Zheng, Zhenlong, 2020. "Expectile CAPM," Economic Modelling, Elsevier, vol. 88(C), pages 386-397.
    19. Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(C).
    20. Zaremba, Adam & Szyszka, Adam & Long, Huaigang & Zawadka, Dariusz, 2020. "Business sentiment and the cross-section of global equity returns," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).

    More about this item

    Keywords

    asset valuation; Fama and French five-factor model; investor sentiment;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:pal:assmgt:v:18:y:2017:i:1:d:10.1057_s41260-016-0027-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave-journals.com/ .

    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.