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The purpose of this study is to understand the investment decision-making of real estate investors in housing, highlighting the interplay between rational and irrational factors. In this study, investment satisfaction was a mediator, while reinvestment intention was the dependent variable.

A quantitative, cross-sectional and descriptive research design was used, gathering data from a sample of 550 residential real estate investors using a multi-stage stratified sampling technique. The partial least squares structural equation modelling disjoint two-stage approach was used for data analysis. This methodological approach allowed for an in-depth examination of the relationship between rational factors such as location, profitability, financial viability, environmental considerations and legal aspects alongside irrational factors including various biases like overconfidence, availability, anchoring, representative and information cascade.

This study strongly supports the adaptive market hypothesis, showing that residential real estate investor behaviour is dynamic, combining rational and irrational elements influenced by evolutionary psychology. This challenges traditional views of investment decision-making. It also establishes that behavioural biases, key to adapting to market changes, are crucial in shaping residential property market efficiency. Essentially, the study uncovers an evolving real estate investment landscape driven by evolutionary behavioural patterns.

This research redefines rationality in behavioural finance by illustrating psychological biases as adaptive tools within the residential property market, urging a holistic integration of these insights into real estate investment theories.

The study reshapes property valuation models by blending economic and psychological perspectives, enhancing investor understanding and market efficiency. These interdisciplinary insights offer a blueprint for improved regulatory policies, investor education and targeted real estate marketing, fundamentally transforming the sector’s dynamics.

Unlike previous studies, the research uniquely integrates human cognitive behaviour theories from psychology and business studies, specifically in the context of residential property investment. This interdisciplinary approach offers a more nuanced understanding of investor behaviour.

The purpose of this paper is to determine whether affective factors such as goal desires, positive anticipated emotions, anticipated regret and non-volitional actions like habits influence retail mutual fund investing.

Using the model of goal-directed behavior (MGB), the impact of affective factors and habits was compared against a cognitively driven model. Data were collected through a survey of 321 mutual fund investors across India and analyzed using the partial least squares method.

Goal-based desires were a significant driver of investing intentions while actual investing was driven by habits. Anticipated regret strongly influenced desires. The overall explanation of variance in intentions and investing behaviors was improved by 27 and 28% respectively by the new model.

The current investments in mutual funds is used as a proxy for future investing behaviors so results need to be interpreted accordingly. Future research directions could include the effects of mood, impact of language, religion and culture.

For “emotionally complex” cultures, impact of emotive drivers and habits play a significant part in investing and fund houses need to orient their marketing accordingly.

Awareness programs on how emotive issues and habits can hinder as well as enhance investment performance in markets would benefit retail investors.

The study is unique in analyzing affective and non-volitional factors and in showing that intentions are not sufficient to explain behaviors. It analyzes not just intentions as most studies do, but end behaviors of investors as well. It uses the MGB theoretical framework from behavioral psychology that has not been applied to financial behaviors before.