Heuristics and cognitive biases in the housing investment market

Purpose This paper aims to analyze the heuristics and cognitive biases described by behavioral finance in the investment decision-making process of Portugal's housing market. Design/methodology/approach In a first step, the authors applied an exploratory factor analysis (EFA) to assess the impact of heuristics and cognitive biases on investors' decision-making. In a second step, the authors run a structural equation model (SEM) diagram path to assess if the sociodemographic characteristics of housing market investors determine the identified heuristics and if the heuristics condition the investors' investment criteria. Findings Herd behavior and the heuristics of representativeness, availability and anchoring influence the housing market's investors' behavior in their decision-making process. Investors with above-average income show higher levels of overconfidence. Investors showing higher levels of overconfidence also tend to be more sensitive to the house price under analysis for investment. Women tend to show higher levels of the availability and anchoring heuristic. In turn, housing market investors showing higher levels of availability and anchoring heuristic tend to be more sensitive to the price and location of the house under analysis for investment. Research limitations/implications The explained variance of the EFA is below 50%, and the root mean square of approximation of the SEM is above the threshold of 0.05. These indicators are evidence of the models' fragility. Practical implications Governments and regulators can better prevent real estate bubbles if they monitor behavioral biases and heuristics of housing investors together with quantitative indicators. Realtors can profit from adapting their marketing strategy and commercial communication to investors of sociodemographic groups more prone to a specific type of heuristics. Originality/value To the best of the authors' knowledge, this is the first study that combines the contributions of behavioral finance with Portugal's housing investment market and the first study connecting heuristics to investment criteria.