A MIC-MAC-Based Structural Exploration of Determinants Impacting Investment Sensitivity

Investment sensitivity refers to the responsiveness of investment decisions to various internal and external influencing factors, including market dynamics, policy changes, technological advancements, and investor behavior. In the modern financial landscape, characterized by volatility and complexity, identifying and structuring these factors is crucial for robust investment strategies. This paper employs the MIC-MAC structural modeling approach to analyze and classify the interdependencies among factors affecting investment sensitivity. By integrating Interpretive Structural Modeling (ISM) with the MIC-MAC technique, the study reveals a hierarchical structure and categorization of key drivers based on their driving and dependence power. The analysis is enriched through expert validation and a focused application scenario, offering insights into strategic decision-making, investment risk management, and policy formulation. The paper also incorporates graphical models, flowcharts, and pseudo-code representations to enhance clarity and applicability for both academic and professional financial environments. The results provide a structured decision-making framework for stakeholders navigating uncertain investment climates.