Abstract

Purpose. Addressing a critical gap in financial research, this study explores the complex interplay between investor behavior and systematic risk over time. Understarding this relationship is crucial for effective risk management and financial decision-making in increasingly volatile markets. This study aims to identify key behavioral factors influencing investor decisions and empirically validate their impact on systematic risk fhuetuations.

Methodology: A mixed-methods approach was employed. The qualitative phase utilized systematic review and meta-synthesis techniques to extract key belavioral indicators. Subsequently, a quantitative study involving 384 participants (investors, capital market professionals, and financial analysts) was conducted. Data were analyzed using structural equation modeling (SEM) with factor analysis in AMOS software.

Findings: The research identified six critical dimensions shaping investor /p>

Conclusion: This study provides nuanced insights into the dynamic relationship between investor behavior and systematic risk. By integrating qualitative and quantitative methodologies, we not only uncovered key behavioral dimensions but also statistically validated their influence on risk. These findings underscore the importance of considering behavioral factors in financial modeling, risk assessment, and policy-making. They offer valuable implications for financial professionals, regulators, and investors in developing

more robust strategies for navigating copiplex financial landscapes