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Loss aversion, overconfidence and their effects on a virtual stock exchange

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  • Bertella, Mario A.
  • Silva, Jonathas N.
  • Stanley, H. Eugene

Abstract

This paper studies the effects of overconfidence and loss aversion in an artificial stock exchange. When we model only fundamentalists we find results that are consistent with homogeneous agent models. Adding 5% of chartists increases the stock return rate but also increases other variables, including volatility and kurtosis. We find that the inclusion of confidence in 5% of chartists raises the trading volume as empirical evidences corroborate and price volatility increases considerably. On the other hand, loss aversion in 5% of chartists substantially decreases the trading volume, although chartist traders now have a higher percentage of stocks in their portfolios, and a buy and hold strategy is adopted to mitigate losses.

Suggested Citation

  • Bertella, Mario A. & Silva, Jonathas N. & Stanley, H. Eugene, 2020. "Loss aversion, overconfidence and their effects on a virtual stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    • Handle: RePEc:eee:phsmap:v:554:y:2020:i:c:s0378437119321697
    DOI: 10.1016/j.physa.2019.123909
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    References listed on IDEAS

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    2. Zhou, Xinxing & Gao, Yan & Wang, Ping & Zhu, Bangzhu, 2022. "Examining the overconfidence and overreaction in China’s carbon markets," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 472-489.

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