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Empirical Evidence on Feedback Trading in Mature and Emerging Stock Markets

Author

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  • Martin T. Bohl

    (Department of Economics, European University Viadrina Frankfurt)

  • Pierre Siklos

    (Department of Economics, Wilfrid Laurier University)

Abstract

We investigate the hypothesis that some participants in mature and emerging capital markets engage in feedback trading. The analysis is based on the Shiller-Sentana-Wadhwani noise trader model. It has the attractive property that it yields testable implications about the presence of positive and negative feedback traders in stock markets. This theoretical framework, together with an asymmetric GARCH-type model, allows us to draw conclusions about whether differences exist between mature and emerging capital markets in terms of the degree of feedback trading. The empirical results show that positive and negative feedback trading strategies exist in both types of markets but are more pronounced in emerging stock markets than in their mature counterparts. Hence, non-fundamental trading strategies seems to play a more important role in emerging relative to mature stock markets.

Suggested Citation

  • Martin T. Bohl & Pierre Siklos, 2004. "Empirical Evidence on Feedback Trading in Mature and Emerging Stock Markets," Research Paper Series 137, Quantitative Finance Research Centre, University of Technology, Sydney.
  • Handle: RePEc:uts:rpaper:137
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    File URL: http://www.qfrc.uts.edu.au/research/research_papers/rp137.pdf
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    References listed on IDEAS

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    Cited by:

    1. Cifarelli, Giulio & Paladino, Giovanna, 2010. "Oil price dynamics and speculation: A multivariate financial approach," Energy Economics, Elsevier, vol. 32(2), pages 363-372, March.
    2. Xue, Wen-Jun & Zhang, Li-Wen, 2017. "Stock return autocorrelations and predictability in the Chinese stock market—Evidence from threshold quantile autoregressive models," Economic Modelling, Elsevier, vol. 60(C), pages 391-401.
    3. repec:pje:journl:article14wini is not listed on IDEAS
    4. Chau, Frankie & Deesomsak, Rataporn & Lau, Marco C.K., 2011. "Investor sentiment and feedback trading: Evidence from the exchange-traded fund markets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 292-305.
    5. Brooks, Robert, 2007. "Power arch modelling of the volatility of emerging equity markets," Emerging Markets Review, Elsevier, vol. 8(2), pages 124-133, May.
    6. Wen-Jun Xue & Li-Wen Zhang, 2016. "Stock Return Autocorrelations and Predictability in the Chinese Stock Market: Evidence from Threshold Quantile Autoregressive Models," Working Papers 1605, Florida International University, Department of Economics.
    7. Warren Dean & Robert Faff, 2011. "Feedback trading and the behavioural ICAPM: multivariate evidence across international equity and bond markets," Applied Financial Economics, Taylor & Francis Journals, vol. 21(22), pages 1665-1678.
    8. Julijana Angelovska, 2013. "Detecting Positive Feedback Trading when Autocorrelation is Positive," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 16(1), pages 93-101, May.
    9. Schuppli, Michael & Bohl, Martin T., 2010. "Do foreign institutional investors destabilize China's A-share markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(1), pages 36-50, February.
    10. Arnold, Lutz G. & Brunner, Stephan, 2015. "The economics of rational speculation in the presence of positive feedback trading," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 161-174.
    11. Michael Schuppli & Martin T. Bohl, 2009. "Do Foreign Institutional Investors Destabilize China’s A-Share Markets?," CQE Working Papers 0909, Center for Quantitative Economics (CQE), University of Muenster.
    12. repec:rss:jnljef:v2i2p2 is not listed on IDEAS
    13. repec:eee:riibaf:v:42:y:2017:i:c:p:1289-1297 is not listed on IDEAS
    14. Chayawadee Chai-Anant & Corinna Ho, 2008. "Understanding Asian equity flows, market returns and exchange rates," BIS Working Papers 245, Bank for International Settlements.
    15. Bartosz Gębka & Dobromił Serwa, 2012. "Liquidity needs, private information, feedback trading: verifying motives to trade," NBP Working Papers 119, Narodowy Bank Polski, Economic Research Department.
    16. Gębka, Bartosz & Serwa, Dobromił, 2015. "The elusive nature of motives to trade: Evidence from international stock markets," International Review of Financial Analysis, Elsevier, vol. 39(C), pages 147-157.
    17. Salm, Christian A. & Schuppli, Michael, 2010. "Positive feedback trading in stock index futures: International evidence," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 313-322, December.
    18. Chau, Frankie & Kuo, Jing-Ming & Shi, Yukun, 2015. "Arbitrage opportunities and feedback trading in emissions and energy markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 130-147.
    19. Du, Ding & Huang, Zhaodan & Liao, Bih-shuang, 2009. "Why is there no momentum in the Taiwan stock market?," Journal of Economics and Business, Elsevier, vol. 61(2), pages 140-152.
    20. Shah Saeed Hassan Chowdhury & M. Arifur Rahman & M. Shibley Sadique, 2015. "Behaviour of Stock Return Autocorrelation in the GCC Stock Markets," Global Business Review, International Management Institute, vol. 16(5), pages 737-746, October.

    More about this item

    Keywords

    feedback trading; return autocorrelation; emerging capital markets in central and eastern european contries; asymmetric GARCH models;

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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