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Empirical evidence on feedback trading in mature and emerging stock markets

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  • Martin Bohl
  • Pierre Siklos

Abstract

We investigate the hypothesis that some participants in mature and emerging stock markets engage in feedback trading. The analysis is based on the Shiller-Sentana-Wadhwani model, which has the attractive property that it yields testable implications about the presence of positive and negative feedback traders in stock markets. In addition, the Shiller-Sentana-Wadhwani model is particularly well-suited to investigate whether momentum type behaviour might be present during periods of large stock market downturns. This theoretical framework, together with asymmetric GARCH-type models, allows us to draw conclusions whether differences exist between mature and emerging stock markets in terms of the degree of feedback trading as well as the behaviour of traders during stock market crashes.

Suggested Citation

  • Martin Bohl & Pierre Siklos, 2008. "Empirical evidence on feedback trading in mature and emerging stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 18(17), pages 1379-1389.
  • Handle: RePEc:taf:apfiec:v:18:y:2008:i:17:p:1379-1389
    DOI: 10.1080/09603100701704280
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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
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    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

    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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