EconPapers    
Economics at your fingertips  
 

Self-Attribution - Behavioural Bias in Investor Decision Making

P. Priyadarsini () and S. Prithi
Additional contact information
P. Priyadarsini: Tagore Engineering College
S. Prithi: Tagore Engineering College

A chapter in Proceedings of the International Conference on Emerging Trends in Business & Management (ICETBM 2023), 2023, pp 214-220 from Springer

Abstract: Abstract Research on Behavioral Finance is gaining in its importance with respect to investor decision making. Behavioral Finance analyses how people behave in financial settings. Investors fail at times by the influence of behavioral bias in their decision making as the human choices are not made rationally. Behavioral finance models have identified different types of Biases. The objective of the study is to determine theory of self-attribution bias and to understand the relationship between self-attribution and investment decisions. The paper has adopted the structured questionnaire to analyze the investment behavior and psychometric tool to evaluate the Self attribution bias. Statistical tool regression was applied to understand the role of self-attribution in investment decision making.

Keywords: Behavioral Finance; Self-Attribution; Investor Decision Making (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-162-3_19

Ordering information: This item can be ordered from
http://www.springer.com/9789464631623

DOI: 10.2991/978-94-6463-162-3_19

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-07-10
Handle: RePEc:spr:advbcp:978-94-6463-162-3_19