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Fight or freeze? Individual differences in investors’ motivational systems and trading in experimental asset markets

  • K.S. Muehlfeld
  • G.U. Weitzel
  • A. van Witteloostuijn

We analyze investors’ trading behavior, particularly their coping with fundamental shocks in asset value, depending on individual differences in the sensitivity of two basic neurophysiological systems—the Behavioral Approach System (BAS), the ‘driving force’ of human behavior, and the Behavioral Inhibition System (BIS), its ‘braking system’. By analyzing 15 independent experimental asset markets with a total of 171 participants, we find that differences in BAS and BIS sensitivity affect trading in both ‘normal’ and shocktrading environments: under normal trading conditions, individuals with a more sensitive BAS are more active traders, prefer riskier portfolios, and generate higher individual overall profits. High BIS subjects generate lower scalping and overall profits. Fundamental shocks generally reinforce the preference of high BAS investors for riskier portfolios, while positive shocks ‘unfreeze’ high BIS investors: they trade more frequently and generate higher profits. At the market level, normal trading in markets with a high BIS median is associated with lower volatility, compared to low BIS median markets, while greater concentration of traders’ BAS scores around the mean is associated with better efficiency and liquidity, compared to markets with lower BAS kurtosis. In high BIS median markets, positive shocks lead to improved efficiency, lower bid-ask spread, and lower volatility. We observe no significant differences in market-level reactions to negative shocks.

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Paper provided by Utrecht School of Economics in its series Working Papers with number 12-18.

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Date of creation: 2012
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Handle: RePEc:use:tkiwps:1218
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  1. Andrew W. Lo & Dmitry V. Repin & Brett N. Steenbarger, 2005. "Fear and Greed in Financial Markets: A Clinical Study of Day-Traders," American Economic Review, American Economic Association, vol. 95(2), pages 352-359, May.
  2. Lucy F. Ackert & Bryan K. Church, 1998. "The effects of subject pool and design experience on rationality in experimental asset markets," Working Paper 98-18, Federal Reserve Bank of Atlanta.
  3. Gächter, Simon & Johnson, Eric J. & Herrmann, Andreas, 2007. "Individual-Level Loss Aversion in Riskless and Risky Choices," IZA Discussion Papers 2961, Institute for the Study of Labor (IZA).
  4. Shefrin, Hersh & Statman, Meir, 1985. " The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence," Journal of Finance, American Finance Association, vol. 40(3), pages 777-90, July.
  5. Stracca, Livio, 2004. "Behavioral finance and asset prices: Where do we stand?," Journal of Economic Psychology, Elsevier, vol. 25(3), pages 373-405, June.
  6. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
  7. Matthew Rabin, 2001. "Risk Aversion and Expected Utility Theory: A Calibration Theorem," Levine's Working Paper Archive 7667, David K. Levine.
  8. Powell, Melanie & Ansic, David, 1997. "Gender differences in risk behaviour in financial decision-making: An experimental analysis," Journal of Economic Psychology, Elsevier, vol. 18(6), pages 605-628, November.
  9. Haigh, Michael S. & List, John A., 2002. "Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis," Working Papers 28554, University of Maryland, Department of Agricultural and Resource Economics.
  10. Uri Gneezy & Arie Kapteyn & Jan Potters, 2003. "Evaluation Periods and Asset Prices in a Market Experiment," Journal of Finance, American Finance Association, vol. 58(2), pages 821-838, 04.
  11. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer, vol. 16(3), pages 297-334, September.
  12. McInish, Thomas H. & Srivastava, Rajendra K., 1984. "The nature of individual investors' heterogeneous expectations," Journal of Economic Psychology, Elsevier, vol. 5(3), pages 251-263, September.
  13. David Genesove & Christopher Mayer, . "Loss Aversion and Seller Behavior: Evidence from the Housing Market," Zell/Lurie Center Working Papers 323, Wharton School Samuel Zell and Robert Lurie Real Estate Center, University of Pennsylvania.
  14. Einiö, Mikko & Kaustia, Markku & Puttonen, Vesa, 2008. "Price setting and the reluctance to realize losses in apartment markets," Journal of Economic Psychology, Elsevier, vol. 29(1), pages 19-34, February.
  15. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
  16. Ravi Dhar & Ning Zhu, 2006. "Up Close and Personal: Investor Sophistication and the Disposition Effect," Management Science, INFORMS, vol. 52(5), pages 726-740, May.
  17. Fellner, Gerlinde & Maciejovsky, Boris, 2007. "Risk attitude and market behavior: Evidence from experimental asset markets," Journal of Economic Psychology, Elsevier, vol. 28(3), pages 338-350, June.
  18. Terrance Odean, 1998. "Are Investors Reluctant to Realize Their Losses?," Journal of Finance, American Finance Association, vol. 53(5), pages 1775-1798, October.
  19. Newton Da Costa & Carlos Mineto & Sergio Da Silva, 2008. "Disposition effect and gender," Applied Economics Letters, Taylor & Francis Journals, vol. 15(6), pages 411-416.
  20. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
  21. McInish, Thomas H., 1982. "Individual investors and risk-taking," Journal of Economic Psychology, Elsevier, vol. 2(2), pages 125-136, June.
  22. Forbes, James & Kara, S. Murat, 2010. "Confidence mediates how investment knowledge influences investing self-efficacy," Journal of Economic Psychology, Elsevier, vol. 31(3), pages 435-443, June.
  23. Kirchler, Michael, 2009. "Underreaction to fundamental information and asymmetry in mispricing between bullish and bearish markets. An experimental study," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 491-506, February.
  24. Terrance Odean, 1999. "Do Investors Trade Too Much?," American Economic Review, American Economic Association, vol. 89(5), pages 1279-1298, December.
  25. Sachse, Katharina & Jungermann, Helmut & Belting, Julia M., 2012. "Investment risk – The perspective of individual investors," Journal of Economic Psychology, Elsevier, vol. 33(3), pages 437-447.
  26. Loibl, Cäzilia & Hira, Tahira K., 2009. "Investor information search," Journal of Economic Psychology, Elsevier, vol. 30(1), pages 24-41, February.
  27. Richard Deaves & Erik Lüders & Guo Ying Luo, 2005. "An Experimental Test of the Impact of Overconfidence and Gender on Trading Activity," CoFE Discussion Paper 05-07, Center of Finance and Econometrics, University of Konstanz.
  28. Weber, Martin & Welfens, Frank, 2007. "How do Markets React to Fundamental Shocks? An Experimental Analysis on Underreaction and Momentum," Sonderforschungsbereich 504 Publications 07-42, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
  29. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer, vol. 10(2), pages 171-178, June.
  30. Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
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