IDEAS home Printed from https://ideas.repec.org/a/spr/jecfin/v24y2000i2p178-194.html
   My bibliography  Save this article

An empirical test of individual and institutional trading patterns in Japan, Hong Kong, and Taiwan

Author

Listed:
  • Yung-Jang Wang
  • M. Walker

Abstract

We examine the pattern of daily stock returns in Japan, Hong Kong, and Taiwan. Our results support the information-processing hypothesis: Average returns on Monday are lower than on other days of the week, particularly when the previous trading day’s return is negative. Our results also support the positive-feedback-trading hypothesis: Daily returns exhibit positive autocorrelation, particularly when the previous trading day’s return is positive. Further analysis reveals that institutional investors (Japan), individual investors (Taiwan), or both (Hong Kong) can cause these patterns. Our findings are consistent with the relative importance of institutional and individual investors in each of these markets. Copyright Springer 2000

Suggested Citation

  • Yung-Jang Wang & M. Walker, 2000. "An empirical test of individual and institutional trading patterns in Japan, Hong Kong, and Taiwan," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 24(2), pages 178-194, June.
    • Handle: RePEc:spr:jecfin:v:24:y:2000:i:2:p:178-194
    DOI: 10.1007/BF02752711
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF02752711
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/BF02752711?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. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    2. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    3. Peterson, David R., 1990. "Stock Return Seasonalities and Earnings Information," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(2), pages 187-201, June.
    4. French, Kenneth R., 1980. "Stock returns and the weekend effect," Journal of Financial Economics, Elsevier, vol. 8(1), pages 55-69, March.
    5. Lakonishok, Josef & Maberly, Edwin, 1990. "The Weekend Effect: Trading Patterns of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 45(1), pages 231-243, March.
    6. Lakonishok, Josef & Levi, Maurice, 1982. "Weekend Effects on Stock Returns: A Note," Journal of Finance, American Finance Association, vol. 37(3), pages 883-889, June.
    7. Paul Brockman & David Michayluk, 1998. "Individual versus institutional investors and the weekend effect," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 22(1), pages 71-85, March.
    8. Dimson, Elroy & Marsh, Paul, 1986. "Event study methodologies and the size effect : The case of UK press recommendations," Journal of Financial Economics, Elsevier, vol. 17(1), pages 113-142, September.
    9. Penman, Stephen H., 1987. "The distribution of earnings news over time and seasonalities in aggregate stock returns," Journal of Financial Economics, Elsevier, vol. 18(2), pages 199-228, June.
    10. Aggarwal, Reena & Rivoli, Pietra, 1989. "Seasonal and Day-of-the-Week Effects in Four Emerging Stock Markets," The Financial Review, Eastern Finance Association, vol. 24(4), pages 541-550, November.
    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. Hsiao-Peng Fu & Andrew Wood, 2010. "Momentum in Taiwan: seasonality matters!," Applied Economics Letters, Taylor & Francis Journals, vol. 17(13), pages 1247-1253.
    2. Teng, Chia-Chen & Yang, J. Jimmy, 2018. "Chinese Lunar New Year effect, investor sentiment, and market deregulation," Finance Research Letters, Elsevier, vol. 27(C), pages 175-184.

    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. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, January.
    2. Satish K. Mittal & Sonal Jain, 2009. "Stock Market Behaviour: Evidences from Indian Market," Vision, , vol. 13(3), pages 19-29, July.
    3. Ülkü, Numan & Rogers, Madeline, 2018. "Who drives the Monday effect?," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 46-65.
    4. Mehmet Dicle & John Levendis, 2014. "The day-of-the-week effect revisited: international evidence," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 38(3), pages 407-437, July.
    5. Yamori, Nobuyoshi & Kurihara, Yutaka, 2004. "The day-of-the-week effect in foreign exchange markets: multi-currency evidence," Research in International Business and Finance, Elsevier, vol. 18(1), pages 51-57, April.
    6. Chowdhury, Anup & Uddin, Moshfique & Anderson, Keith, 2022. "Trading behaviour and market sentiment: Firm-level evidence from an emerging Islamic market," Global Finance Journal, Elsevier, vol. 53(C).
    7. H. Kent Baker & Abdul Rahman & Samir Saadi, 2008. "The day‐of‐the‐week effect and conditional volatility: Sensitivity of error distributional assumptions," Review of Financial Economics, John Wiley & Sons, vol. 17(4), pages 280-295, December.
    8. Bohl, Martin T. & Schuppli, Michael & Siklos, Pierre L., 2010. "Stock return seasonalities and investor structure: Evidence from China's B-share markets," China Economic Review, Elsevier, vol. 21(1), pages 190-201, March.
    9. Shlomo Zilca, 2017. "Day-of-the-week returns and mood: an exterior template approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-21, December.
    10. Venezia, Itzhak & Shapira, Zur, 2007. "On the behavioral differences between professional and amateur investors after the weekend," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1417-1426, May.
    11. Bohl, Martin T. & Schuppli, Michael & Siklos, Pierre L., 2010. "Stock return seasonalities and investor structure: Evidence from China's B-share markets," China Economic Review, Elsevier, vol. 21(1), pages 190-201, March.
    12. Paul Brockman & David Michayluk, 1998. "Individual versus institutional investors and the weekend effect," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 22(1), pages 71-85, March.
    13. Dumitriu, Ramona & Stefanescu, Razvan, 2013. "DOW effects in returns and in volatility of stock markets during quiet and turbulent times," MPRA Paper 47218, University Library of Munich, Germany, revised 02 Apr 2013.
    14. Chen, Gongmeng & Kwok, Chuck C. Y. & Rui, Oliver M., 2001. "The day-of-the-week regularity in the stock markets of China," Journal of Multinational Financial Management, Elsevier, vol. 11(2), pages 139-163, April.
    15. Aggarwal, Raj & Schatzberg, John D., 1997. "Day of the week effects, information seasonality, and higher moments of security returns," Journal of Economics and Business, Elsevier, vol. 49(1), pages 1-20, February.
    16. repec:zbw:bofitp:2009_020 is not listed on IDEAS
    17. Kartono Liano & Kadir Liano & Herman Manakyan, 1999. "Presidential administrations and the day‐of‐the‐week effect in stock returns," Review of Financial Economics, John Wiley & Sons, vol. 8(1), pages 93-99.
    18. Baur, Dirk G. & Cahill, Daniel & Godfrey, Keith & (Frank) Liu, Zhangxin, 2019. "Bitcoin time-of-day, day-of-week and month-of-year effects in returns and trading volume," Finance Research Letters, Elsevier, vol. 31(C), pages 78-92.
    19. Lean, Hooi Hooi & Smyth, Russell & Wong, Wing-Keung, 2007. "Revisiting calendar anomalies in Asian stock markets using a stochastic dominance approach," Journal of Multinational Financial Management, Elsevier, vol. 17(2), pages 125-141, April.
    20. Trabelsi, Mohamed Ali, 2010. "Choix de portefeuille: comparaison des différentes stratégies [Portfolio selection: comparison of different strategies]," MPRA Paper 82946, University Library of Munich, Germany, revised 01 Dec 2010.
    21. Kiymaz, Halil & Berument, Hakan, 2003. "The day of the week effect on stock market volatility and volume: International evidence," Review of Financial Economics, Elsevier, vol. 12(4), pages 363-380.

    More about this item

    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:spr:jecfin:v:24:y:2000:i:2:p:178-194. 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.springer.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.