Qualitative analysis of the influence of biases and emotions on decision-making in stock markets: the case of individual investors

Using a qualitative experimental design underpinned by elements of experimental finance, we analyze decision-making processes on stock markets, using a student population. The various results obtained, based on the tools used (open and closed questionnaires as well as trading journals), demonstrate the presence of certain biases (representativeness bias, rank bias, presence of heuristics and “all that glitters attracts”) and the influence of specific emotions (anger, fear, anxiety and sadness) in decision-making. The conclusions drawn from the analysis allow us to suggest that the development of biases and emotional pressure are strongly conditioned by the general context in which decision-making takes place, as well as by some socio-demographic characteristics of the participants (in particular, gender).

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Publication Details

Journal
International Journal of Research in Business and Social Science (2147-4478)
Published
2025-05-03
DOI
https://doi.org/10.20525/ijrbs.v14i3.3992
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
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article

Qualitative analysis of the influence of biases and emotions on decision-making in stock markets: the case of individual investors

Alain Finet, Julie Laznicka, Hugo Palumbo
International Journal of Research in Business and Social Science (2147-4478)
Financial Markets and Investment Strategies
article

Qualitative analysis of the influence of biases and emotions on decision-making in stock markets: the case of individual investors

Alain Finet, Julie Laznicka, Hugo Palumbo
article en

Abstract

Using a qualitative experimental design underpinned by elements of experimental finance, we analyze decision-making processes on stock markets, using a student population. The various results obtained, based on the tools used (open and closed questionnaires as well as trading journals), demonstrate the presence of certain biases (representativeness bias, rank bias, presence of heuristics and “all that glitters attracts”) and the influence of specific emotions (anger, fear, anxiety and sadness) in decision-making. The conclusions drawn from the analysis allow us to suggest that the development of biases and emotional pressure are strongly conditioned by the general context in which decision-making takes place, as well as by some socio-demographic characteristics of the participants (in particular, gender).

International Journal of Research in Business and Social Science (2147-4478)Vol. 14(3)
University of Mons (BE)
Openalex Percentile: Top 88%
Financial Markets and Investment Strategies
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