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Feedback trading and the behavioural ICAPM: multivariate evidence across international equity and bond markets

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  • Warren Dean
  • Robert Faff

Abstract

In this article we develop a 'behavioural' Intertemporal Capital Asset Pricing Model (ICAPM) in which the behavioural impetus comes from the feedback trading implications for the autocorrelation of returns. We apply the model in a setting of paired equity and bond investments, employing a bivariate diagonal Berndt-Engle-Kraft-Kroner (BEKK) framework. Our empirics rely on daily equity and bond index returns across six major economies, over the period 1 January 1990 to 30 June 2005. We find evidence supporting the theory that the observed dynamics of serial correlation can be a function of both volatility and conditional covariance (between equity and bonds). Moreover, our behavioural ICAPM shows empirical promise as a useful model of asset pricing in markets that display the feedback trading phenomenon.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:apfiec:v:21:y:2011:i:22:p:1665-1678
    DOI: 10.1080/09603107.2011.591728
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    1. Elyasiani, Elyas & Mansur, Iqbal, 1998. "Sensitivity of the bank stock returns distribution to changes in the level and volatility of interest rate: A GARCH-M model," Journal of Banking & Finance, Elsevier, vol. 22(5), pages 535-563, May.
    2. Ming-Yuan Leon Li, 2009. "Multiple asymmetries in index stock returns from boom/bust and stable/volatile markets states- an empirical study of US and UK stock markets," Applied Economics Letters, Taylor & Francis Journals, vol. 16(2), pages 183-191.
    3. David M. Cutler & James M. Poterba & Lawrence H. Summers, 1991. "Speculative Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(3), pages 529-546.
    4. McKenzie, Michael D. & Kim, Suk-Joong, 2007. "Evidence of an asymmetry in the relationship between volatility and autocorrelation," International Review of Financial Analysis, Elsevier, vol. 16(1), pages 22-40.
    5. Merton, Robert C, 1973. "An Intertemporal Capital Asset Pricing Model," Econometrica, Econometric Society, vol. 41(5), pages 867-887, September.
    6. Hui Guo & Robert F. Whitelaw, 2006. "Uncovering the Risk–Return Relation in the Stock Market," Journal of Finance, American Finance Association, vol. 61(3), pages 1433-1463, June.
    7. Antoniou, Antonios & Koutmos, Gregory & Pericli, Andreas, 2005. "Index futures and positive feedback trading: evidence from major stock exchanges," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 219-238, March.
    8. Song, Frank M, 1994. "A Two-Factor ARCH Model for Deposit-Institution Stock Returns," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 26(2), pages 323-340, May.
    9. De Long, J Bradford, et al, 1990. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," Journal of Finance, American Finance Association, vol. 45(2), pages 379-395, June.
    10. Sentana, Enrique & Wadhwani, Sushil B, 1992. "Feedback Traders and Stock Return Autocorrelations: Evidence from a Century of Daily Data," Economic Journal, Royal Economic Society, vol. 102(411), pages 415-425, March.
    11. Warren Dean & Robert Faff, 2008. "Evidence of feedback trading with Markov switching regimes," Review of Quantitative Finance and Accounting, Springer, vol. 30(2), pages 133-151, February.
    12. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    13. Shanken, Jay, 1990. "Intertemporal asset pricing : An Empirical Investigation," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 99-120.
    14. Warren G. Dean & Robert W. Faff, 2001. "The intertemporal relationship between market return and variance: an Australian perspective," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 41(3), pages 169-196, November.
    15. Laopodis, Nikiforos T., 2005. "Feedback trading and autocorrelation interactions in the foreign exchange market: Further evidence," Economic Modelling, Elsevier, vol. 22(5), pages 811-827, September.
    16. Koutmos, Gregory, 1997. "Feedback trading and the autocorrelation pattern of stock returns: further empirical evidence," Journal of International Money and Finance, Elsevier, vol. 16(4), pages 625-636, August.
    17. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    18. Ekaterini Tsouma, 2007. "Stock return dynamics and stock market interdependencies," Applied Financial Economics, Taylor & Francis Journals, vol. 17(10), pages 805-825.
    19. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    20. Ernst R. Berndt & Bronwyn H. Hall & Robert E. Hall & Jerry A. Hausman, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 653-665, National Bureau of Economic Research, Inc.
    21. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    22. John R. Nofsinger & Richard W. Sias, 1999. "Herding and Feedback Trading by Institutional and Individual Investors," Journal of Finance, American Finance Association, vol. 54(6), pages 2263-2295, December.
    23. Tarun Chordia, 2005. "An Empirical Analysis of Stock and Bond Market Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 18(1), pages 85-129.
    24. Chen, Carl R. & Su, Yuli & Huang, Ying, 2008. "Hourly index return autocorrelation and conditional volatility in an EAR-GJR-GARCH model with generalized error distribution," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 789-798, September.
    25. Alexander Kurov, 2008. "Investor Sentiment, Trading Behavior and Informational Efficiency in Index Futures Markets," The Financial Review, Eastern Finance Association, vol. 43(1), pages 107-127, February.
    26. Bange, Mary M., 2000. "Do the Portfolios of Small Investors Reflect Positive Feedback Trading?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(2), pages 239-255, June.
    27. Christie, Andrew A., 1982. "The stochastic behavior of common stock variances : Value, leverage and interest rate effects," Journal of Financial Economics, Elsevier, vol. 10(4), pages 407-432, December.
    28. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August.
    29. repec:bla:jfinan:v:53:y:1998:i:2:p:575-603 is not listed on IDEAS
    30. Frankie Chau & Phil Holmes & Krishna Paudyal, 2008. "The Impact of Universal Stock Futures on Feedback Trading and Volatility Dynamics," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(1‐2), pages 227-249, January.
    31. Thomas C. Chiang & Cathy W.S. Chen & Mike K.P. So, 2007. "Asymmetric Return and Volatility Responses to Composite News from Stock Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 11(3-4), pages 179-210, September.
    32. Nikiforos Laopodis, 2008. "Noise trading and autocorrelation interactions in the foreign exchange market: Evidence from developed and emerging economies," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 32(3), pages 271-293, July.
    33. Rakesh Kumar & Raj S. Dhankar, 2010. "Empirical Analysis of Conditional Heteroskedasticity in Time Series of Stock Returns and Asymmetric Effect on Volatility," Global Business Review, International Management Institute, vol. 11(1), pages 21-33, January.
    34. 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.
    35. Chun-Da Chen, 2009. "Return autocorrelations in the stock markets," Applied Economics Letters, Taylor & Francis Journals, vol. 16(9), pages 907-911.
    36. Frankie Chau & Phil Holmes & Krishna Paudyal, 2008. "The Impact of Universal Stock Futures on Feedback Trading and Volatility Dynamics," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(1‐2), pages 227-249, January.
    37. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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