IDEAS home Printed from https://ideas.repec.org/p/zbw/bubdps/182016.html
   My bibliography  Save this paper

Black Monday, globalization and trading behavior of stock investors

Author

Listed:
  • Kurz-Kim, Jeong-Ryeol

Abstract

Using a simple sign test, we report new empirical evidence, taken from both the US and the German stock markets, showing that trading behavior substantially changed around Black Monday in 1987. It turned out that before Black Monday investors behaved more as in the momentum strategy; and after Black Monday more as in the contrarian strategy. We argue that crashes, in general, themselves are merely a manifestation of uncertainty on stock markets and the high uncertainty due to globalization is mainly responsible for this change.

Suggested Citation

  • Kurz-Kim, Jeong-Ryeol, 2016. "Black Monday, globalization and trading behavior of stock investors," Discussion Papers 18/2016, Deutsche Bundesbank.
    • Handle: RePEc:zbw:bubdps:182016
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/142171/1/861480805.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kurz, Claudia & Kurz-Kim, Jeong-Ryeol, 2013. "What determines the dynamics of absolute excess returns on stock markets?," Economics Letters, Elsevier, vol. 118(2), pages 342-346.
    2. Andreas Park & Hamid Sabourian, 2011. "Herding and Contrarian Behavior in Financial Markets," Econometrica, Econometric Society, vol. 79(4), pages 973-1026, July.
    3. Joseph E. Stiglitz, 2010. "Risk and Global Economic Architecture: Why Full Financial Integration May Be Undesirable," American Economic Review, American Economic Association, vol. 100(2), pages 388-392, May.
    4. 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.
    5. 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.
    6. Goetzmann, William N. & Massa, Massimo, 2002. "Daily Momentum and Contrarian Behavior of Index Fund Investors," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 37(3), pages 375-389, September.
    7. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. "Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
    8. Branch, William A. & Evans, George W., 2013. "Bubbles, crashes and risk," Economics Letters, Elsevier, vol. 120(2), pages 254-258.
    9. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June.
    10. Branch, William A. & Evans, George W., 2013. "Bubbles, crashes and risk," Economics Letters, Elsevier, vol. 120(2), pages 254-258.
    11. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    12. Mele, Antonio, 2007. "Asymmetric stock market volatility and the cyclical behavior of expected returns," Journal of Financial Economics, Elsevier, vol. 86(2), pages 446-478, November.
    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. Jeong-Ryeol Kurz-Kim, 2019. "Trading behavior of stock investors: Black Monday revisited," Journal of Asset Management, Palgrave Macmillan, vol. 20(4), pages 251-262, July.
    2. Park, A. & Sgroi, D., 2009. "Herding and Contrarian Behavior in Financial Markets: An Experimental Analysis," Cambridge Working Papers in Economics 0938, Faculty of Economics, University of Cambridge.
    3. Adam Majewski & Stefano Ciliberti & Jean-Philippe Bouchaud, 2018. "Co-existence of Trend and Value in Financial Markets: Estimating an Extended Chiarella Model," Papers 1807.11751, arXiv.org.
    4. Caporin, Massimiliano & Ranaldo, Angelo & Santucci de Magistris, Paolo, 2013. "On the predictability of stock prices: A case for high and low prices," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5132-5146.
    5. Stephan Schulmeister, 2009. "Profitability of technical stock trading: Has it moved from daily to intraday data?," Review of Financial Economics, John Wiley & Sons, vol. 18(4), pages 190-201, October.
    6. Sandrine Jacob Leal, 2015. "Fundamentalists, chartists and asset pricing anomalies," Quantitative Finance, Taylor & Francis Journals, vol. 15(11), pages 1837-1850, November.
    7. Majewski, Adam A. & Ciliberti, Stefano & Bouchaud, Jean-Philippe, 2020. "Co-existence of trend and value in financial markets: Estimating an extended Chiarella model," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    8. Aboulamer, Anas & Kryzanowski, Lawrence, 2016. "Are idiosyncratic volatility and MAX priced in the Canadian market?," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 20-36.
    9. Sandrine Jacob Leal, 2015. "Fundamentalists, Chartists and Asset pricing anomalies," Post-Print hal-01508002, HAL.
    10. Wen, Danyan & Zhang, Zihao & Nie, Jing & Cao, Yang, 2024. "Investor attention and anomalies: Evidence from the Chinese stock market," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    11. Semenov, Andrei, 2021. "Measuring the stock's factor beta and identifying risk factors under market inefficiency," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 635-649.
    12. Nicholas Apergis & Vasilios Plakandaras & Ioannis Pragidis, 2022. "Industry momentum and reversals in stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3093-3138, July.
    13. Stefan Nagel, 2013. "Empirical Cross-Sectional Asset Pricing," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 167-199, November.
    14. Doran, James & Jiang, Danling & Peterson, David, 2007. "Short-Sale Constraints and the Non-January Idiosyncratic Volatility Puzzle," MPRA Paper 4995, University Library of Munich, Germany.
    15. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
    16. Geertsema, Paul & Lu, Helen, 2020. "The correlation structure of anomaly strategies," Journal of Banking & Finance, Elsevier, vol. 119(C).
    17. Syed Riaz Mahmood Ali, 2022. "Do momentum and reversal matter in the Singapore stock market?," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 29(6), pages 1692-1708, November.
    18. Jank, Stephan & Roling, Christoph & Smajlbegovic, Esad, 2021. "Flying under the radar: The effects of short-sale disclosure rules on investor behavior and stock prices," Journal of Financial Economics, Elsevier, vol. 139(1), pages 209-233.
    19. Alia Afzal & Philipp Sibbertsen, 2021. "Modeling fractional cointegration between high and low stock prices in Asian countries," Empirical Economics, Springer, vol. 60(2), pages 661-682, February.
    20. Minardi, A., 2001. "Preços Passados prevendo Desempenho de Ações Brasileiras," Finance Lab Working Papers flwp_43, Finance Lab, Insper Instituto de Ensino e Pesquisa.

    More about this item

    Keywords

    Trading behavior; Momentum; Contrarian; Black Monday; Globalization; Uncertainty;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

    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:zbw:bubdps:182016. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/dbbgvde.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.