IDEAS home Printed from https://ideas.repec.org/a/eee/quaeco/v80y2021icp74-79.html
   My bibliography  Save this article

Parameter behavioral finance model of investor groups based on statistical approaches

Author

Listed:
  • Zhuo, Jinwu
  • Li, Xinmiao
  • Yu, Changrui

Abstract

This paper establishes the parameter behavioral finance model of investor groups. There are three key research steps: Firstly, using statistics and investors' investment psychology set up 15 parameters, to describe investor group behavior. Secondly, the genetic algorithm is used to optimize the value of parameters according to the historical turnover data, and optimal parameter values of the stock are given. Thirdly, the simulation method is used to simulate the behavior of different investment groups when the stock market fluctuates. Also, this method can predict the future trend of the stock market based on the simulation data. According to our tests’ results, we found this model can be used to explain the fluctuation of stocks. However, it is still not stable and accurate to forecast future stock prices, thus further research is needed.

Suggested Citation

  • Zhuo, Jinwu & Li, Xinmiao & Yu, Changrui, 2021. "Parameter behavioral finance model of investor groups based on statistical approaches," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 74-79.
    • Handle: RePEc:eee:quaeco:v:80:y:2021:i:c:p:74-79
    DOI: 10.1016/j.qref.2021.01.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062976921000181
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.qref.2021.01.012?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. Shenoy, Catherine & Zhang, Ying Jenny, 2007. "Order imbalance and stock returns: Evidence from China," The Quarterly Review of Economics and Finance, Elsevier, vol. 47(5), pages 637-650, December.
    2. Lapanan, Nicha, 2018. "The investment behavior of socially responsible individual investors," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 214-226.
    3. Nolte, Sven & Schneider, Judith C., 2018. "How price path characteristics shape investment behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 33-59.
    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. Ghada A. Altarawneh & Ahmad B. Hassanat & Ahmad S. Tarawneh & Ahmad Abadleh & Malek Alrashidi & Mansoor Alghamdi, 2022. "Stock Price Forecasting for Jordan Insurance Companies Amid the COVID-19 Pandemic Utilizing Off-the-Shelf Technical Analysis Methods," Economies, MDPI, vol. 10(2), pages 1-18, February.

    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. Jesús Manuel Palma-Ruiz & Julen Castillo-Apraiz & Raúl Gómez-Martínez, 2020. "Socially Responsible Investing as a Competitive Strategy for Trading Companies in Times of Upheaval Amid COVID-19: Evidence from Spain," IJFS, MDPI, vol. 8(3), pages 1-13, July.
    2. Mohrschladt, Hannes, 2021. "The ordering of historical returns and the cross-section of subsequent returns," Journal of Banking & Finance, Elsevier, vol. 125(C).
    3. Chung, Huimin & Gao, Cheng & Lu, Jie & Mizrach, Bruce, 2013. "An empirical analysis of the Shanghai and Shenzhen limit order books," Economic Modelling, Elsevier, vol. 34(C), pages 37-41.
    4. Wong, Woon K. & Liu, Bo & Zeng, Yong, 2009. "Can price limits help when the price is falling? Evidence from transactions data on the Shanghai Stock Exchange," China Economic Review, Elsevier, vol. 20(1), pages 91-102, March.
    5. Ting Zhang & George J. Jiang & Wei‐Xing Zhou, 2021. "Order imbalance and stock returns: New evidence from the Chinese stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 2809-2836, June.
    6. Lukas, Moritz & Nöth, Markus, 2021. "Interest rate fixation periods and reference points," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    7. Shen, Dehua & Li, Xiao & Zhang, Wei, 2017. "Baidu news coverage and its impacts on order imbalance and large-size trade of Chinese stocks," Finance Research Letters, Elsevier, vol. 23(C), pages 210-216.
    8. Christiansen, Charlotte & Jansson, Thomas & Kallestrup-Lamb, Malene & Noren, Vicke, 2023. "Households' investments in socially responsible mutual funds," The Quarterly Review of Economics and Finance, Elsevier, vol. 87(C), pages 46-67.
    9. Andraszewicz, Sandra & Friedman, Jason & Kaszás, Dániel & Hölscher, Christoph, 2023. "Zurich Trading Simulator (ZTS) — A dynamic trading experimental tool for oTree," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    10. Zhang, Ting & Gu, Gao-Feng & Xu, Hai-Chuan & Xiong, Xiong & Chen, Wei & Zhou, Wei-Xing, 2017. "Power-law tails in the distribution of order imbalance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 201-208.
    11. Luc Meunier & Sima Ohadi, 2023. "When are two portfolios better than one? A prospect theory approach," Theory and Decision, Springer, vol. 94(3), pages 503-538, April.
    12. Borsboom, Charlotte & Janssen, Dirk-Jan & Strucks, Markus & Zeisberger, Stefan, 2022. "History matters: How short-term price charts hurt investment performance," Journal of Banking & Finance, Elsevier, vol. 134(C).
    13. Cordes, Henning & Nolte, Sven & Schneider, Judith C., 2023. "Dynamics of stock market developments, financial behavior, and emotions," Journal of Banking & Finance, Elsevier, vol. 154(C).
    14. Bernal, Oscar & Hudon, Marek & Ledru, François-Xavier, 2021. "Are impact and financial returns mutually exclusive? Evidence from publicly-listed impact investments," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 93-112.
    15. Orlando Gomes, 2020. "Optimal growth under socially responsible investment: a dynamic theoretical model of the trade-off between financial gains and emotional rewards," International Journal of Corporate Social Responsibility, Springer, vol. 5(1), pages 1-17, December.
    16. Baars, Maren & Mohrschladt, Hannes, 2024. "Preferences for maximum daily returns," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 343-353.
    17. Piehler, Maximilian, 2020. "Prospect Theory and Stock Returns During Bubbles," Junior Management Science (JUMS), Junior Management Science e. V., vol. 5(3), pages 262-294.
    18. Zhang, Ting & Gu, Gao-Feng & Zhou, Wei-Xing, 2019. "Order imbalances and market efficiency: New evidence from the Chinese stock market," Emerging Markets Review, Elsevier, vol. 38(C), pages 458-467.
    19. Narayan, Paresh Kumar & Narayan, Seema & Westerlund, Joakim, 2015. "Do order imbalances predict Chinese stock returns? New evidence from intraday data," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 136-151.
    20. Vasudevan, Ellapulli V., 2023. "Some gains are riskier than others: Volatility changes and the disposition effect," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 68-81.

    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:eee:quaeco:v:80:y:2021:i:c:p:74-79. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620167 .

    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.