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Exploring the Psychological Drivers of Cryptocurrency Investment Biases: Evidence from Indian Retail Investors
by
Sahu, Manabhanjan
, Uddin, Furquan
, Hossain, Md Billal
in
Analysis
/ Automobile drivers
/ availability bias
/ behavioral finance
/ Bias
/ Crypto-currencies
/ cryptocurrency
/ Decision making
/ Digital currencies
/ disposition effect
/ Financial services industry
/ Forecasts and trends
/ Online assets
/ Personality traits
2025
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Exploring the Psychological Drivers of Cryptocurrency Investment Biases: Evidence from Indian Retail Investors
by
Sahu, Manabhanjan
, Uddin, Furquan
, Hossain, Md Billal
in
Analysis
/ Automobile drivers
/ availability bias
/ behavioral finance
/ Bias
/ Crypto-currencies
/ cryptocurrency
/ Decision making
/ Digital currencies
/ disposition effect
/ Financial services industry
/ Forecasts and trends
/ Online assets
/ Personality traits
2025
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Exploring the Psychological Drivers of Cryptocurrency Investment Biases: Evidence from Indian Retail Investors
by
Sahu, Manabhanjan
, Uddin, Furquan
, Hossain, Md Billal
in
Analysis
/ Automobile drivers
/ availability bias
/ behavioral finance
/ Bias
/ Crypto-currencies
/ cryptocurrency
/ Decision making
/ Digital currencies
/ disposition effect
/ Financial services industry
/ Forecasts and trends
/ Online assets
/ Personality traits
2025
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Exploring the Psychological Drivers of Cryptocurrency Investment Biases: Evidence from Indian Retail Investors
Journal Article
Exploring the Psychological Drivers of Cryptocurrency Investment Biases: Evidence from Indian Retail Investors
2025
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Overview
Cryptocurrency investment in India has quickly become a mainstream financial activity, but it is still highly prone to psychological factors that impact the decision-making of retail investors. This study examines the effect of personality traits on cryptocurrency investment behavior using the mediating variable of behavioral biases. Based on the Big Five Personality Model and the theory of Behavioral Finance, data were gathered from 716 Indian retail investors using a structured questionnaire. Partial Least Squares Structural Equation Modeling (PLS-SEM) was conducted to analyze the relationships among the variables. Results show that Openness to experience and Agreeableness significantly predict Availability Bias, whereas Extraversion and Agreeableness affect the Disposition Effect. The theoretical framework shows how bias-driven investment behavior in volatile markets such as cryptocurrency is triggered by personality-based predispositions. The study adds to the behavioral finance literature by taking psychological profiling outside the realms of traditional investment contexts into digital asset investing and provides practical insights for regulators, fintech platforms, and investment advisors to design interventions to mitigate bias and enhance investor education.
Publisher
MDPI AG
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