Trading Psychology Under Pressure

Abstract

Through a thematic analysis, we analyze the evolution of cognitive biases among eight participants (students) during a three-day trading simulation in a market that was perceived as unfavorable. The biases studied include overconfidence, representativeness, anchoring, herd behavior, availability and prospect theory. Prospect Theory, particularly through loss aversion, is strongly present and dominates the experience of most participants. It is perceived as ‘difficult’ even with virtual money. Some manage loss aversion with strict stop losses, while others, when confronted with losses, may take more risks in order to try to ‘recover’. Gains generate moderate satisfaction rather than euphoria. Virtual money seems to reduce the emotions connected with gains and losses for some participants. The Availability Bias is widespread. The participants focus on easily accessible information such as graphs, well-known company names, basic news and widely used indicators. Fundamental analysis is often rejected as too complex, time-consuming or irrelevant.  Anchoring Bias is variable. Some participants use specific limits as reference points. Representativeness bias is generally stable throughout the experiment. It involves using familiarity with companies as a decision-making criterion, or applying principles perceived as effective, such as using well-known technical indicators. Overconfidence varies considerably from one participant to another, influenced by previous experience and results achieved. It can be very low at the beginning, grow with confirmed intuition, or decrease in response to an unfavorable market. In the context of the study, Herd Behavior corresponds to a desire to find comfort in the group of participants in order to overcome a feeling of isolation, rather than a desire to copy behavior. The key findings of our research demonstrate a strong aversion to loss (prospect theory).   

Keywords: {'name': 'Behavioral Finance'}, {'name': 'Loss Aversion'}, {'name': 'Overconfidence'}, {'name': 'Availability Bias'}, {'name': 'Representativeness Bias'}, {'name': 'Anchoring Bias'}, {'name': 'Herd Behavior'}, {'name': 'Qualitative Research'}

Authors & affiliations

Alain Finet
Affiliation not supplied

Kevin Kristoforidis
Affiliation not supplied

Julie Laznicka
Affiliation not supplied

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