Behavioural finance research and knowledge mapping: a comprehensive bibliometric analysis from 2010 to 2022
The study aims to explore the patterns and connections in the behavioural biases and investment decisions of existing literature on the Web of Science database using Science mapping and performance analysis tools.This study selected 512 research papers from the Web of Science database published between 2010 and 2022 after deep screening -all influential authors with their citations exposed along with top journals.The pattern of the papers highlighted and the connection between literatures gives direction for future research.Publication on behavioural biases and investment decisions increased since 2016.The Journal of Behavioural Finance is leading in published documents, the Journal of Financial Economics has the highest citation count, and the USA is the top country in publications and citations.The outcome of this study provides valuable insights into the intellectual structure of biases of investors and adds value to the existing knowledge.This review offers knowledge and theories for the behavioural finance discipline and provides a road map for the future trend of research on behavioural biases and investment decisions.
Authors
- Padma Charan Mishra (ORCID: https://orcid.org/0000-0003-1298-0176)
- Manoranjan Dash (ORCID: https://orcid.org/0000-0003-1216-8700)
- Anshita Bihari
- Siddhant Dash
Publication Details
- Journal
- International Journal of Applied Decision Sciences
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1504/ijads.2025.143076
- Primary Topic
- Stock Market Forecasting Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00