Proceedings of the 3rd International Conference on Artificial Intelligence in Economics, Finance and Management (ICAIEFM 2025)

Behavioral Biases and Decision-Making in Day Trading: Examining the Roles of Risk Perception and AI Assistance

Authors
Sherry Ritha Antony1, *, K. Siby Joseph2
1Research Scholar, Department of Business Administration, St. Berchmans College, Changanacherry, Kottayam, Kerala, India
2Professor, Department of Business Administration, St. Berchmans College, Changanacherry, Kottayam, Kerala, India
*Corresponding author. Email: sherry@sbcollege.ac.in
Corresponding Author
Sherry Ritha Antony
Available Online 6 November 2025.
DOI
10.2991/978-94-6463-896-7_5How to use a DOI?
Keywords
Anchoring Bias; Availability Bias; Risk Perception; AI Assistance; Decision Making; Behavioral Finance; Day Trading
Abstract

Behavioral biases are mostly extensively studied in the context of long-term investment decisions however their influence on short-term, high-frequency trading such as day trading has received only limited attention. This research seeks to bridge the gap by exploring the influence of cognitive biases particularly anchoring and availability bias on investment decision-making, among day traders in Kerala, India, that operates in a volatile and fast-paced environment. The study also looks at how risk perception acts as a link in the decision-making process and the moderating impact of Artificial Intelligence (AI) assistance over these relationships.

The study gathered primary data by giving a structured questionnaire to active day traders from Kerala using validated measurement scales. Responses gathered via convenience sampling were analyzed using SPSS 25.0. Reliability confirmed using Cronbach’s alpha, construct validity ensured through correlation and confirmatory factor analysis (CFA), and hypotheses tested using PROCESS macro (Model 5).

The findings reveal that both anchoring and availability biases significantly influence day trading decisions. Risk perception serves as a partial mediator, shaping how traders interpret risk under cognitive distortions. Crucially, AI assistance moderates these effects, helping to mitigate bias-driven decisions and enabling more objective, data-informed trading behavior. By extending behavioral finance research into the domain of short-term trading, this study offers timely insights into the combined impact of psychological and technological factors on decision-making in Kerala’s evolving retail trading landscape.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Artificial Intelligence in Economics, Finance and Management (ICAIEFM 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
6 November 2025
ISBN
978-94-6463-896-7
ISSN
2352-5428
DOI
10.2991/978-94-6463-896-7_5How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Sherry Ritha Antony
AU  - K. Siby Joseph
PY  - 2025
DA  - 2025/11/06
TI  - Behavioral Biases and Decision-Making in Day Trading: Examining the Roles of Risk Perception and AI Assistance
BT  - Proceedings of the 3rd International Conference on Artificial Intelligence in Economics, Finance and Management (ICAIEFM 2025)
PB  - Atlantis Press
SP  - 68
EP  - 95
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-896-7_5
DO  - 10.2991/978-94-6463-896-7_5
ID  - Antony2025
ER  -