IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v389y2010i6p1223-1229.html
   My bibliography  Save this article

A social network model of investment behaviour in the stock market

Author

Listed:
  • Bakker, L.
  • Hare, W.
  • Khosravi, H.
  • Ramadanovic, B.

Abstract

To consider the psychological factors that impact market valuation, a model is formulated for investment behaviour of traders whose decisions are influenced by their trusted peers’ behaviour. The model is implemented and several different “trust networks” are tested. Simulation results demonstrate that real life trust networks can significantly delay the stabilisation of a market.

Suggested Citation

  • Bakker, L. & Hare, W. & Khosravi, H. & Ramadanovic, B., 2010. "A social network model of investment behaviour in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(6), pages 1223-1229.
    • Handle: RePEc:eee:phsmap:v:389:y:2010:i:6:p:1223-1229
    DOI: 10.1016/j.physa.2009.11.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437109009236
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2009.11.013?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. Dilip Abreu & Markus K. Brunnermeier, 2003. "Bubbles and Crashes," Econometrica, Econometric Society, vol. 71(1), pages 173-204, January.
    2. John R. Conlon, 2004. "Simple Finite Horizon Bubbles Robust to Higher Order Knowledge," Econometrica, Econometric Society, vol. 72(3), pages 927-936, May.
    3. Wei, Yi-ming & Ying, Shang-jun & Fan, Ying & Wang, Bing-Hong, 2003. "The cellular automaton model of investment behavior in the stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 325(3), pages 507-516.
    4. Robert B. Barsky & J. Bradford De Long, 1993. "Why Does the Stock Market Fluctuate?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(2), pages 291-311.
    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. Hou, Jianlei & Zhao, Shangmei & Yang, Haijun, 2018. "Security analysts’ earnings forecasting performance based on information transmission network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 611-619.
    2. Li, Huajiao & An, Haizhong & Huang, Jiachen & Huang, Xuan & Mou, Songtao & Shi, Yanli, 2016. "The evolutionary stability of shareholders’ co-holding behavior for China’s listed energy companies based on associated maximal connected sub-graphs of derivative holding-based networks," Applied Energy, Elsevier, vol. 162(C), pages 1601-1607.
    3. Bian, Yue-tang & Xu, Lu & Li, Jin-sheng, 2016. "Evolving dynamics of trading behavior based on coordination game in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 281-290.
    4. Zhao, Zheng & Zhang, YongJie & Feng, Xu & Zhang, Wei, 2014. "An analysis of herding behavior in security analysts’ networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 413(C), pages 116-124.
    5. Ducha, F.A. & Atman, A.P.F. & Bosco de Magalhães, A.R., 2021. "Information flux in complex networks: Path to stylized facts," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    6. Liu, Qian & Li, Huajiao & Liu, Xueyong & Jiang, Meihui, 2018. "Information networks in the stock market based on the distance of the multi-attribute dimensions between listed companies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 505-513.
    7. Cao, Guangxi & Xie, Wenhao, 2022. "Detrended multiple moving average cross-correlation analysis and its application in the correlation measurement of stock market in Shanghai, Shenzhen, and Hong Kong," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 590(C).
    8. Haifei Liu & Tingqiang Chen & Zuhan Hu, 2017. "Dynamic Evolution of Securities Market Network Structure under Acute Fluctuation Circumstances," Complexity, Hindawi, vol. 2017, pages 1-11, November.
    9. Chen, Kun & Luo, Peng & Sun, Bianxia & Wang, Huaiqing, 2015. "Which stocks are profitable? A network method to investigate the effects of network structure on stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 224-235.
    10. Elisa Tjondro & Saarce Elsye Hatane & Retnaningtyas Widuri & Josua Tarigan, 2023. "Rational versus Irrational Behavior of Indonesian Cryptocurrency Owners in Making Investment Decision," Risks, MDPI, vol. 11(1), pages 1-18, January.
    11. Kylie J. Gilbey & Sharon Purchase, 2023. "Segmented financial risk tolerances within the standardised initial public offering regulatory environment of the Australian Securities Exchange," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S1), pages 1447-1475, April.

    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. Dong, Feng & Jia, Yandong & Wang, Siqing, 2022. "Speculative Bubbles and Talent Misallocation," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    2. Franklin Allen & Elena Carletti, 2013. "Systemic risk from real estate and macro-prudential regulation," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 5(1/2), pages 28-48.
    3. KevinJ. Lansing, 2010. "Rational and Near-Rational Bubbles Without Drift," Economic Journal, Royal Economic Society, vol. 120(549), pages 1149-1174, December.
    4. Allen, Franklin & Carletti, Elena, 2013. "New theories to underpin financial reform," Journal of Financial Stability, Elsevier, vol. 9(2), pages 242-249.
    5. Barlevy, Gadi, 2014. "A leverage-based model of speculative bubbles," Journal of Economic Theory, Elsevier, vol. 153(C), pages 459-505.
    6. Wan, Junmin, 2024. "Transmission of housing bubbles among industrial sectors," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 692-701.
    7. John Knight & Stephen Satchell & Nandini Srivastava, 2012. "Steady-State Distributions for Models of Bubbles: their Existence and Econometric Implications," Birkbeck Working Papers in Economics and Finance 1208, Birkbeck, Department of Economics, Mathematics & Statistics.
    8. Steinbacher, Matjaz, 2008. "Stochastic Processes in Finance and Behavioral Finance," MPRA Paper 13603, University Library of Munich, Germany.
    9. Ernst Fehr & Jean-Robert Tyran, 2005. "Individual Irrationality and Aggregate Outcomes," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 43-66, Fall.
    10. Mesly, Olivier & Chkir, Imed & Racicot, François-Éric, 2019. "Predatory cells and puzzling financial crises: Are toxic products good for the financial markets?," Economic Modelling, Elsevier, vol. 78(C), pages 11-31.
    11. Kevin J. Lansing, 2008. "Speculative growth and overreaction to technology shocks," Working Paper Series 2008-08, Federal Reserve Bank of San Francisco.
    12. Brunnermeier, Markus K. & Oehmke, Martin, 2013. "Bubbles, Financial Crises, and Systemic Risk," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1221-1288, Elsevier.
    13. Sadzik, Tomasz & Woolnough, Chris, 2021. "Snowballing private information," Journal of Economic Theory, Elsevier, vol. 198(C).
    14. Kunieda, Takuma, 2008. "Asset bubbles and borrowing constraints," Journal of Mathematical Economics, Elsevier, vol. 44(2), pages 112-131, January.
    15. Tolhurst, Tor N., 2018. "A Model-Free Bubble Detection Method: Application to the World Market for Superstar Wines," 2018 Annual Meeting, August 5-7, Washington, D.C. 274387, Agricultural and Applied Economics Association.
    16. Qin, Jie, 2015. "A model of regret, investor behavior, and market turbulence," Journal of Economic Theory, Elsevier, vol. 160(C), pages 150-174.
    17. John Conlon, 2005. "Should Central Banks Burst Bubbles?," Game Theory and Information 0508007, University Library of Munich, Germany.
    18. Zhang, Mu & Zheng, Jie, 2017. "A robust reference-dependent model for speculative bubbles," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 232-258.
    19. Doblas-Madrid, Antonio, 2016. "A finite model of riding bubbles," Journal of Mathematical Economics, Elsevier, vol. 65(C), pages 154-162.
    20. Negrelli, Sara, 2020. "Bubbles and persuasion with uncertainty over market sentiment," Games and Economic Behavior, Elsevier, vol. 120(C), pages 67-85.

    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:phsmap:v:389:y:2010:i:6:p:1223-1229. 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.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.