A Model of Investor Sentiment Based on Grounded Theory Approach

Investor expectations regarding future economic processes are among the crucial factors that influence their decision-making. These expectations play a unique role as they are unmonitored variables capable of shaping observable economic phe-nomena. Psychological factors have a significant impact on both investor expecta-tions and corporate market value. This study focuses on modeling investor senti-ments with an emphasis on psychological factors, utilizing the Grounded Theory (GT) framework. The research is conducted through applied and mixed-methods at its initial and subsequent stages. The statistical population for this study com-prises 13 experts, senior managers of investment companies, and university pro-fessors. Participants were selected using purposive and snowball sampling tech-niques, continuing until theoretical saturation was achieved. Data collection was carried out through semi-structured interviews, which were then coded using Atlas.ti 8 software. The research data were analyzed using an open coding meth-od, leading to the identification of 46 categories and 6 key dimensions as the research results.