BEHAVIORAL FINANCE INSIGHTS TO IMPROVE MANAGERIAL DECISION MAKING

Authors

  • Dr. Rakesh Kumar Upadhyay , Prof. VD Sharma Author

DOI:

https://doi.org/10.65009/f6wxhk55

Keywords:

Behavioral Biases, Behavioral Finance, Cognitive Heuristics, Decision Architecture, Emotional Decision-Making, Managerial Judgment, Nudging Mechanisms, Prospect Theory, Risk Perception, Strategic Decision-Making, Behavioral Diagnostics, Managerial Psychology,,

Abstract

Behavioral finance provides a powerful lens for understanding how cognitive biases, 
heuristics, and emotional influences shape managerial decision-making. Traditional financial 
models assume rationality, yet managers frequently rely on intuitive judgments that deviate 
from optimal choices, creating inefficiencies in capital allocation, risk assessment, and strategic 
planning. This research examines key behavioral finance constructs—overconfidence, loss 
aversion, anchoring, herd behaviour, mental accounting, and framing effects—to analyze their 
impact on managerial decisions across corporate finance, investment evaluation, and 
organizational strategy. Using empirical datasets, experimental simulations, and behavioral 
scoring models, this study highlights how irrational tendencies affect forecasting accuracy, 
budgeting outcomes, and risk-taking patterns. Further, the study proposes an integrated 
Behavioral Insight Framework (BIF) using bias diagnostics, predictive analytics, and nudging 
mechanisms to guide managers toward more rational financial decisions. The findings 
demonstrate that incorporating behavioral finance insights leads to improved decision 
accuracy, enhanced risk management, and stronger strategic consistency. The study ultimately 
contributes to the development of behaviorally informed managerial policies that drive better 
organizational performance and financial stability. 

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Published

2025-11-19

How to Cite

BEHAVIORAL FINANCE INSIGHTS TO IMPROVE MANAGERIAL DECISION MAKING . (2025). Phoenix: International Multidisciplinary Research Journal ( Peer Reviewed High Impact Journal ), 3(4), 125-135. https://doi.org/10.65009/f6wxhk55