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Partial knowledge is a dangerous thing - On the value of asymmetric fundamental information in asset markets

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  • Kirchler, Michael

Abstract

We present results from experimental asset markets and simulations in which traders are asymmetrically informed about the fundamental value of an asset. To control for learning we run the experimental markets three times with identical subjects at identical information levels. With questionnaires we further check whether the results are driven by subjects' overconfidence. To obtain benchmarks and to measure the impact of the asymmetric information structure on traders' abnormal returns, we run two simulation settings. In the experimental markets insiders outperform the market and uninformed computerized random traders perform equally well compared to average informed traders. This is in line with the results of the equilibrium simulation in which agents choose between a random strategy and their fundamental strategy until equilibrium is reached. Similar to the equilibrium simulation, insiders mainly use a fundamental strategy while average and weak informed subjects ignore the fundamental information given to them. Our benchmark simulations also show that the latter would have ended up worse if they would have used their fundamental information in the experiment. When looking for behavioral explanations we find no evidence for overconfidence and learning in the markets, thus concluding that the information structure is the main driver of our results.

Suggested Citation

  • Kirchler, Michael, 2010. "Partial knowledge is a dangerous thing - On the value of asymmetric fundamental information in asset markets," Journal of Economic Psychology, Elsevier, vol. 31(4), pages 643-658, August.
  • Handle: RePEc:eee:joepsy:v:31:y:2010:i:4:p:643-658
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    References listed on IDEAS

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    Cited by:

    1. Glenn Boyle & Gerald Ward, 2016. "Do Better Informed Investors Always Do Better?," Working Papers in Economics 16/29, University of Canterbury, Department of Economics and Finance.
    2. Jena, Sangram Keshari & Lahiani, Amine & Tiwari, Aviral Kumar & Roubaud, David, 2021. "Uncovering the complex asymmetric relationship between trading activity and commodity futures price: Evidenced from QNARDL study," Resources Policy, Elsevier, vol. 74(C).
    3. Liu, Jingzhen, 2019. "Impacts of lagged returns on the risk-return relationship of Chinese aggregate stock market: Evidence from different data frequencies," Research in International Business and Finance, Elsevier, vol. 48(C), pages 243-257.
    4. Abreu, Margarida & Mendes, Victor, 2012. "Information, overconfidence and trading: Do the sources of information matter?," Journal of Economic Psychology, Elsevier, vol. 33(4), pages 868-881.
    5. Corgnet, Brice & Deck, Cary & DeSantis, Mark & Porter, David, 2018. "Information (non)aggregation in markets with costly signal acquisition," Journal of Economic Behavior & Organization, Elsevier, vol. 154(C), pages 286-320.
    6. Merl, Robert, 2022. "Literature review of experimental asset markets with insiders," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
    7. Chakrabarty, Anindya & De, Anupam & Gunasekaran, Angappa & Dubey, Rameshwar, 2015. "Investment horizon heterogeneity and wavelet: Overview and further research directions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 45-61.
    8. repec:grz:wpsses:2021-04 is not listed on IDEAS
    9. Jürgen Huber & Martin Angerer & Michael Kirchler, 2011. "Experimental asset markets with endogenous choice of costly asymmetric information," Experimental Economics, Springer;Economic Science Association, vol. 14(2), pages 223-240, May.
    10. Anindya Chakrabarty & Anupam De & Gautam Bandyopadhyay, 2016. "Horizon heterogeneity, institutional constraint and managerial myopia: a multi-frequency perspective on ELSS," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 9(1), pages 18-47.

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