IDEAS home Printed from https://ideas.repec.org/p/xrs/sfbmaa/03-17.html
   My bibliography  Save this paper

September 11 and Stock Return Expectations of Individual Investors

Author

Listed:
  • Glaser, Markus

    (Sonderforschungsbereich 504)

  • Weber, Martin

    (Lehrstuhl für ABWL, Finanzwirtschaft, insb. Bankbetriebslehre)

Abstract

This study offers the unique opportunity to analyze how an unprecedented crisis such as the September 11 tragedy influences expected returns and volatility forecasts of individual investors. Via e-mail, we asked a randomly selected group of individual investors with accounts at a German online broker to answer an internet questionnaire at the beginning of August, 2001. A second e-mail to the investors who have not yet answered, scheduled five weeks later, was postponed due to the terror attacks until September 20, which was exactly the day with the lowest share prices in Germany in the year 2001. Based on the answers to questions concerning stock market predictions, we find that return forecasts of the investors in our sample are significantly higher after September 11. The actual returns from the respective time of response until the end of the year 2001 are overestimated in both groups. The second group of investors states return forecasts that are approximately twice as high as the true realized returns. After the terror attacks, volatility forecasts are higher than before September 11. In two out of four cases, historical volatilities are overestimated. Therefore, investors are not generally overconfident in the way that they underestimate the variance of stock returns. Differences of opinion with regard to return forecasts are lower after the terror attacks whereas differences of opinion concerning volatility forecasts are mainly unaffected. Furthermore, differences of opinion are generally higher with regard to return (point) forecasts when compared to differences of opinion with regard volatility forecasts.

Suggested Citation

  • Glaser, Markus & Weber, Martin, 2003. "September 11 and Stock Return Expectations of Individual Investors," Sonderforschungsbereich 504 Publications 03-17, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
  • Handle: RePEc:xrs:sfbmaa:03-17
    Note: Financial support from the Deutsche Forschungsgemeinschaft, SFB 504, at the University of Mannheim, is gratefully acknowledged.
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Glaser, Markus, 2003. "Online broker investors : demographic information, investment strategy, portfolio positions, and trading activity," Papers 03-18, Sonderforschungsbreich 504.
    2. Bødskov Andersen, Allan & Wagener, Tom, 2002. "Extracting risk neutral probability densities by fitting implied volatility smiles: some methodological points and an application to the 3M Euribor futures option prices," Working Paper Series 198, European Central Bank.
    3. S. T. M. Straetmans & W. F. C. Verschoor & C. C. P. Wolff, 2008. "Extreme US stock market fluctuations in the wake of 9|11," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 17-42.
    4. Glaser, Markus, 2003. "Online Broker Investors: Demographic Information, Investment Strategy, Portfolio Positions, and Trading Activity," Sonderforschungsbereich 504 Publications 03-18, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    5. Spanos,Aris, 1986. "Statistical Foundations of Econometric Modelling," Cambridge Books, Cambridge University Press, number 9780521269124, September.
    6. Robert J. Shiller, 1987. "Investor Behavior in the October 1987 Stock Market Crash: Survey Evidence," NBER Working Papers 2446, National Bureau of Economic Research, Inc.
    7. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    8. Alok Kumar & Ravi Dhar, 2001. "A Non-Random Walk Down the Main Street: Impact of Price Trends on Trading Decisions of Individual Investors," Yale School of Management Working Papers ysm208, Yale School of Management.
    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. Markus Glaser & Martin Weber, 2007. "Overconfidence and trading volume," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 32(1), pages 1-36, June.
    2. Glaser, Markus & Weber, Martin, 2009. "Which past returns affect trading volume?," Journal of Financial Markets, Elsevier, vol. 12(1), pages 1-31, February.
    3. Glaser, Markus, 2003. "Online Broker Investors: Demographic Information, Investment Strategy, Portfolio Positions, and Trading Activity," Sonderforschungsbereich 504 Publications 03-18, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    4. Bellofatto, Anthony & Broihanne, Marie-Hélène & D'Hondt, Catherine, 2019. "Appetite for information and trading behavior," LIDAM Discussion Papers LFIN 2019002, Université catholique de Louvain, Louvain Finance (LFIN).
    5. Psaradakis, Zacharias & Sola, Martin, 1996. "On the power of tests for superexogeneity and structural invariance," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 151-175.
    6. Ying Zhang & Peggy Swanson, 2010. "Are day traders bias free?—evidence from internet stock message boards," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 34(1), pages 96-112, January.
    7. McGuirk, Anya M. & Spanos, Aris, 2004. "Revisiting Error Autocorrelation Correction: Common Factor Restrictions And Granger Causality," 2004 Annual meeting, August 1-4, Denver, CO 20176, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Ralf Gerhardt & Steffen Meyer, 2013. "The effect of personal portfolio reporting on private investors," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(3), pages 257-273, September.
    9. Weber, Martin & Welfens, Frank, 2007. "The repurchase behavior of individual investors : an experimental investigation," Papers 07-44, Sonderforschungsbreich 504.
    10. Adrian C. Darnell, 1994. "A Dictionary Of Econometrics," Books, Edward Elgar Publishing, number 118.
    11. Glaser, Markus & Weber, Martin, 2007. "Why inexperienced investors do not learn: They do not know their past portfolio performance," Finance Research Letters, Elsevier, vol. 4(4), pages 203-216, December.
    12. Kapteyn, Arie & Kalwij, Adriaan & Zaidi, Asghar, 2004. "The myth of worksharing," Labour Economics, Elsevier, vol. 11(3), pages 293-313, June.
    13. Glaser, Markus, 2003. "Online broker investors : demographic information, investment strategy, portfolio positions, and trading activity," Papers 03-18, Sonderforschungsbreich 504.
    14. McGuirk, Anya M. & Spanos, Aris, 2002. "The Linear Regression Model With Autocorrelated Errors: Just Say No To Error Autocorrelation," 2002 Annual meeting, July 28-31, Long Beach, CA 19905, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. Weber, Martin & Welfens, Frank, 2007. "An Individual Level Analysis of the Disposition Effect: Empirical and Experimental Evidence," Sonderforschungsbereich 504 Publications 07-45, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    16. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5.
    17. Shaneera Boolell-Gunesh, 2008. "Un portrait de l?investisseur individuel français," Working Papers of LaRGE Research Center 2008-12, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    18. Jeffrey Edwards, 2006. "Politics, Inflation, and the Mundell-Tobin Effect," Journal of Economic Insight, Missouri Valley Economic Association, vol. 32(2), pages 9-30.
    19. Ying Zhang, 2009. "Determinants of Poster Reputation on Internet Stock Message Boards," American Journal of Economics and Business Administration, Science Publications, vol. 1(2), pages 114-121, June.
    20. Athanase Polymenis, 2017. "Asymptotic relationship between sample mean and sample variance for autoregressive processes of order 1," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 6(1), pages 1-4.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:xrs:sfbmaa:03-17. 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: Carsten Schmidt (email available below). General contact details of provider: https://edirc.repec.org/data/sfmande.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.