PurposeConventional theories of financial management are notably inconspicuous when considering the influence of heuristic-driven biases and fundamental and technical anomalies on institutional investors' investment decision-making performance and market efficiency, particularly, in emerging Asian economies. This study aims to explore the mechanism by which heuristic driven biases (i.e. cognitive heuristic biases and recognition-based heuristic biases) influence institutional investors' investment decision-making, investment performance and perceived market efficiency, with a mediating role of fundamental and technical anomalies and the moderating role of financial knowledge in Pakistan.Design/methodology/approachData were collected through a survey completed by 180 institutional investors trading on the Pakistan Stock Exchange. Structural equation modeling was used to analyze the data and test the hypotheses.FindingsThe results suggest that heuristic-driven biases have a significant negative influence on perceived market efficiency and investment performance and a significant positive effect on investment decisions of institutional investors. Fundamental and technical anomalies appeared to mediate these relationships. The results also revealed that financial knowledge moderates these relationships.Originality/valueThis study pioneers research on the links among heuristic-driven biases, financial knowledge, fundamental and technical anomalies and institutional investors' decisions and performance. This adds to the understanding of the role that heuristic-driven bias plays in investment management activities and enhances the appreciation of various behavioral aspects and their influence on investment decision-making and performance in an emerging market. It also contributes to the literature on behavioral finance, specifically the role of heuristics in investment strategies, which is still in its initial stage in developed countries, let alone in developing countries. The current research contributes to the literature by defining heuristic-driven biases as antecedents and fundamental and technical anomalies as intervening variables for irrational investment decision-making and poor investment performance. In addition, this study underlines the significance of utilizing financial knowledge to manage the antecedents and repercussions of fundamental and technical anomalies.