IDEAS home Printed from https://ideas.repec.org/a/eme/rbfpps/v6y2014i2p155-162.html
   My bibliography  Save this article

Positive feedback trading: a review

Author

Listed:
  • Gregory Koutmos

Abstract

Purpose - – The literature on positive feedback trading has grown considerably in recent years. The purpose of this paper is to provide a review of the theoretical and empirical literature on positive feedback trading and especially the literature related to the Sentana and Wadhwani (1992) model. Design/methodology/approach - – This literature review covers theoretical and empirical work in this area and it points out shortcomings and potential extensions of the basic feedback model. Findings - – The evidence so far points in the direction of positive feedback trading being present in aggregate stock market indices, index futures, bond markets, foreign exchange markets and individual stocks. There are some important issues that require further investigation. For example, it is likely that feedback trading is a function of longer lags of past return. Likewise, asymmetric behavior during up and down markets appears to be the rule rather than the exception. More importantly, the models should allow for positive as well as negative feedback and be general enough to investigate feedback trading behavior in individual assets and not just the aggregate market. Research limitations/implications - – The discussion points out theoretical and empirical limitations and shortcomings of the extant literature. Originality/value - – This is the first paper to review positive feedback trading, implications, limitations and need for future research.

Suggested Citation

  • Gregory Koutmos, 2014. "Positive feedback trading: a review," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 6(2), pages 155-162, November.
  • Handle: RePEc:eme:rbfpps:v:6:y:2014:i:2:p:155-162
    DOI: 10.1108/RBF-08-2014-0043
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/RBF-08-2014-0043/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/RBF-08-2014-0043/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/RBF-08-2014-0043?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fabrice Rousseau & Herve Boco & Laurent Germain, 2020. "When Overconfident Traders Meet Feedback Traders - Updated from 2016," Economics Department Working Paper Series n270-16.pdf, Department of Economics, National University of Ireland - Maynooth.
    2. Batmunkh John Munkh-Ulzii & Michael McAleer & Massoud Moslehpour & Wing-Keung Wong, 2018. "Confucius and Herding Behaviour in the Stock Markets in China and Taiwan," Sustainability, MDPI, vol. 10(12), pages 1-16, November.
    3. Wang, Wenzhao & Duxbury, Darren, 2021. "Institutional investor sentiment and the mean-variance relationship: Global evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 415-441.
    4. Chen, Xiaoyu & Chiang, Thomas C., 2020. "Empirical investigation of changes in policy uncertainty on stock returns—Evidence from China’s market," Research in International Business and Finance, Elsevier, vol. 53(C).
    5. Kallinterakis, Vasileios & Liu, Fei & Pantelous, Athanasios A. & Shao, Jia, 2020. "Pricing inefficiencies and feedback trading: Evidence from country ETFs," International Review of Financial Analysis, Elsevier, vol. 70(C).
    6. Liu, Xufeng & Wan, Die, 2022. "Asymmetric positive feedback trading and stock pricing in China," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    7. Alexakis, Christos & Chantziaras, Antonios & Economou, Fotini & Eleftheriou, Konstantinos & Grose, Christos, 2023. "Animal Behavior in Capital markets: Herding formation dynamics, trading volume, and the role of COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    8. Andrikopoulos, Panagiotis & Cui, Yueting & Gad, Samar & Kallinterakis, Vasileios, 2020. "Feedback trading and the ramadan effect in frontier markets," Research in International Business and Finance, Elsevier, vol. 51(C).
    9. David G. Green, 2023. "Emergence in complex networks of simple agents," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(3), pages 419-462, July.
    10. Kusen, Alex & Rudolf, Markus, 2019. "Feedback trading: Strategies during day and night with global interconnectedness," Research in International Business and Finance, Elsevier, vol. 48(C), pages 438-463.
    11. Charteris, Ailie & Kallinterakis, Vasileios, 2021. "Feedback trading in retail-dominated assets: Evidence from the gold bullion coin market," International Review of Financial Analysis, Elsevier, vol. 75(C).
    12. Chau, Frankie & Deesomsak, Rataporn, 2015. "Business cycle variation in positive feedback trading: Evidence from the G-7 economies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 35(C), pages 147-159.
    13. Paulo Vitor Jordão da Gama Silva & Augusto F.C. Neto & Marcelo Cabus Klotzle & Antonio Carlos Figueiredo pinto & Leonardo Lima Gomes, 2019. "Does the cryptocurrency market exhibits feedback trading?," Economics Bulletin, AccessEcon, vol. 39(4), pages 2830-2838.

    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:eme:rbfpps:v:6:y:2014:i:2:p:155-162. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Emerald Support (email available below). General contact details of provider: .

    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.