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The purpose of this paper is to investigate the property investment decision-making process of Australian unlisted property funds.

Drawing on previous research into property investment decision making by Australian REITs, a normative model of the unlisted property fund investment decision-making process is proposed. Based on exploratory investigation through semi-structured interviews with senior Australian unlisted property fund decision makers, a descriptive model of the property investment decision-making process by Australian unlisted property funds is developed. The normative model and descriptive model are compared and a prescriptive model of the Australian unlisted property fund investment decision-making process proposed.

A four-stage, 20-step process proposed in the normative model was found to be generally supported by the descriptive model developed, potentially comprising a possible prescriptive model for the Australian unlisted property fund investment decision-making process.

Further research is required to investigate risk-return issues, whether the prescriptive model is generalisable across other property investment decision-making groups or over time and whether it may lead to “good” decisions.

The prescriptive model proposed may contribute consistency and transparency to the decision-making process, if adopted by Australian unlisted property funds, potentially leading to better decisions.

Greater consistency and transparency in property investment decision making by Australian unlisted property funds may lead to the optimal allocation of capital and greater investor confidence in the sector.

The findings comprise the first possible prescriptive model of the Australian unlisted property fund investment decision-making process, forming a basis for comparative investigation of that process adopted by other property investment decision-making groups such as Australian REITs and Australian retail property funds.

The overall purpose of the study is to identify the impact of heuristics, prospect theory biases and personality traits on property investment decision-making of rank and file individuals in Kosovo, with a concentration in Prishtina, which is the city with the largest number of investors and property transactions in Kosovo.

The present study used quantitative research with the questionnaire used as a research instrument. The questionnaire survey was conducted with 1,209 rank and file property investors in Prishtina, Kosovo. The sampling method used in this research was stratified random sampling.

The study finds that heuristics, prospect theory biases and personality traits as a whole model affect investment decision-making in Prishtina, Kosovo. Nevertheless, the study finds that not all dimensions of the constructed research model (heuristics, the prospect theory and personality) affect the property investment decision-making in Prishtina at the same level. Whereas prospect theory biases (regret aversion, framing and self-control) seem to very strongly influence property investment decision-making of rank and file investors in Prishtina, personality traits (conscientiousness, neuroticism and openness to new experiences) seem not to affect the real estate investment decision-making. Finally, heuristics biases also strongly influence the real estate investment decision-making with a strong statistically significant explanatory power but not to the same degree as prospect theory biases.

The present study contributes toward the understanding of the role that is played by heuristics, prospect theory biases and personality traits in Kosovo's property investment industry. More importantly, the implication of the results of the present study is that it goes some way toward enhancing understanding of heuristic and prospect theory-driven biases and their influence on property investment decision-making in a developing economy. The present study paves the way to further analyze why personality traits do not influence property investment decision-making in Kosovo.

The present study is the first quantification of the impact of heuristics, prospect theory biases and personality traits on the investment decision-making of rank and file individuals in Prishtina, Kosovo.

Interviews in South Korea, Taiwan, Singapore, and India indicate net present value (NPV) is not widely employed in making capital investment decisions in these newly industrialized and developing countries. It is not from lack of knowledge about net present value: rather, it is due to (1) widespread violation of the assumptions underlying NPV, (2) the high risk/high return nature of the capital investments, and (3) the decision‐making process employed in making capital investment decisions. These same three conditions exist for many capital investment decisions made by firms in developed countries. Only by abandoning the static NPV approach, building in real options, and understanding and building in the decision‐making process will further advances be made in capital budgeting decision‐making. One of the key paradigms in finance is net present value (NPV). In order to maximize value, managers should accept all positive NPV investment projects, and reject all negative NPV projects. The issue becomes more complex when uncertainty is introduced, or, as in recent years, when real options to defer, abandon, expand, etc. are incorporated into the decision‐making process [e.g., Dixit and Pindyck (1994) and Trigeorgis (1995 and 1996)]. However, with these exceptions, the state of the art in capital investment decision‐making revolves around the simple statement—take all positive NPV projects. In practice, evidence from surveys and discussions with corporate executives indicates the message taught for the last 30 years in business schools has been heard and, to a large extent, acted upon by larger U.S., Canadian, and British‐based firms. While larger firms in North America, and to a lesser extent Western Europe, generally employ the static, or traditional, NPV framework for making, or assisting in making, capital investment decisions, less is known about the decision‐making process employed by firms in other parts of the world. The question addressed in this study is: “Do firms in other parts of the world, especially in newly industrialized or developing countries in the Asia Pacific region, employ NPV for making capital investment decisions?” The purposes of this study are threefold: (1) to report the results of a series of open‐ended interviews conducted in South Korea, Taiwan, Singapore, and India about the capital investment decision‐making process employed; (2) to understand why NPV is not widely employed in making capital investment decisions in these newly industrialized and developing countries; and, most important, (3) to indicate that NPV and the capital budgeting decision‐making process need rethinking and refocusing to make them more effective—in all countries, whether developed, newly industrialized, or developing. The paper proceeds in the following manner. Section I provides an introduction to the study. In Section II the results of the interviews are presented. In Section III patterns that emerged during the interview process are presented, along with a number of specific examples of the types of capital investment decisions being considered. In Section IV the assumptions underlying NPV are examined, and then risk/return and the decision‐making process are considered. Section V contains the discussion and conclusions.

The purpose of this paper is to investigate property investment decision making by Australian REITs.

Through an extensive literature review, a normative model of the property investment decision-making process is proposed. Based on semi-structured interviews with senior Australian REIT decision makers, a descriptive model of the property investment decision-making process by Australian REITs is developed. The normative model and descriptive model are compared and a prescriptive model of the Australian REIT property investment decision-making process proposed.

With the four stage, 20-step process proposed in the normative model found to be generally supported by the descriptive model developed, this may potentially comprise an effective prescriptive model for the Australian REIT property investment decision-making process.

Further research is required to investigate if the prescriptive model is generalisable across other property investment decision-making groups or over time and whether it may lead to “good” decisions.

The prescriptive model proposed may contribute consistency and transparency to the decision-making process, if adopted by Australian REITs, potentially leading to better decisions.

Greater consistency and transparency in property investment decision making by Australian REITs may lead to the optimal allocation of capital and greater investor confidence in the sector.

The findings comprise the first prescriptive model of the Australian REIT property investment decision-making process, forming a basis for comparative investigation of that process adopted by other property investment decision-making groups.

The purpose of this paper is to determine whether individual investor sentiment and its factors influence investment decision-making behavior in the Indian stock market. The study contributes to the novel conceptual framework that integrates the impact of investor sentiment and outlines the role of its factors (herding, media factor, advocate recommendation and social interaction) during the investment decision-making process.

In this paper, data were collected using a structured questionnaire survey from Indian individual investors. It uses self-reported sources of information collected via a survey of individual investors and estimated the linkage via path modeling. The collected data were analyzed using partial least square structural equation modeling to examine the relationship between the construct, namely, herding, media, advocate recommendation and social interaction with investor sentiment and investment decision-making.

The study shows that herding, media factor, advocate recommendation and social interaction significantly and positively influence the investor sentiment. Among all the factors, social interaction has the lowest influence on investor sentiment. The study also reveals that investor sentiment has a positive impact on investment decision-making.

The study provides valuable insights for the individual investors, financial advisors, policymakers and other stakeholders. Knowledge of behavioral finance would enhance the decision-making capabilities of individual investors in the stock market. Thus, the study calls for the need to increase awareness among Indian investors about behavioral finance and its usefulness in investment decision-making. The paper also sheds light upon the influence of investor sentiment and its antecedents on investment decision-making. The study confirms that the investor relies on their sentiment while making investment decisions. Hence, the stakeholders in the stock market should focus on investor sentiment and other psychological aspects of individual investors as well.

There are very few studies that deal with the behavioral aspects of individual investors in an emerging market context. The study mainly focuses on the antecedent of investor sentiment and its influence on investment decision-making in the Indian stock market. To the best of authors’ knowledge, the present study unique nature that examines the impact of the antecedent of investor sentiment which was not explored in the Indian context and investment decision-making of individual investors.

Innovation is the way of life and we see various innovative techniques and methods being introduced in our daily life. This study aims to focus on digital innovation in the wealth management domain. This study examines the effect of usage of robo-advisory services in investment decision-making and behavioural biases, i.e. overconfidence and loss aversion. Such studies are more pronounced in developed countries and little has been studied about investor behaviour in association with advisory services in developing countries such as India.

Overconfidence and loss-aversion biases, investment decision-making and advisory services questions are measured using a five-point Likert scale. The number of respondents was 172 investors. A purposive sampling is used for gathering responses from investors. Structural equation modeling model was run using AMOS 22 version software package.

The authors found that behavioural biases positively and significantly influence the irrationalities of investment decision-making. The findings of this study also provide empirical evidence that the usage of robo-advisory services, by individual investors, is still incapable of mitigating behavioural biases, such as overconfidence bias and loss-aversion bias.

The sample size of this study could be a limiting factor. This study is limited only to two biases, while other behavioural biases affect the investment decision-making of the investors, which can be considered for future research along with the impact of robo-advisory services in different socio-cultural backgrounds.

This study will assist fintech start-ups, banks, architecture of robo advisors, product owners and wealth management service providers improvise their products, platforms and offerings of these automated advisory services. This could help individual investors to mitigate their behavioural biases in investment decision-making.

This study is useful to society as the awareness of robo-advisory services is very less, at present, and there is a need to increase the usage of these services to extend the benefit of this to the lower stratum of society. These services would be useful to all investors who find it difficult to afford financial advisors and help them mitigate their behavioural biases for investment decision-making.

This study is the first of its type that establishes the linkage between behavioural biases, digital innovation in fintech, i.e. robo-advisory services and individual investor’s investment decision-making in individual investor of the Indian stock market.

The purpose of this study was to gain a better understanding of pension fund managers investment thinking when confronted with challenging investment decisions. The study focuses on the theoretical question of how dual thinking processes in experts’ investment decision-making emerge. This question has attracted interest in economic psychology but has not yet been answered. Here, it is explored in the context of pension funds.

The sample included 22 pension fund managers. The authors explored their decision-making by applying the critical incident interview technique, which entailed collecting investment decisions that fund managers retrieved from recent memory (Flanagan, 1954). Questions concerned the investment situation, the decision-making process and the challenges and uncertainties the fund managers faced.

Many of the 61 critical incidents examined concerned challenging (mostly stock) investments based on extensive analysis (e.g. reliance on external analysts for advice; analysis of massive amounts of hard company and stock market information; scrutiny of company reports and personal meetings with CEOs). However, fund managers to a high degree based their decisions on soft information judgments such as experience and qualitative judgements of teams. The authors found heuristics, intuitive thinking, biases (sunk cost effects) and social influences in investment decision-making.

The sample is small and not randomly selected.

The authors suggest anti-bias training and better acquaintance with human forecasting limitations for pension fund managers.

Pension fund managers’ investment thinking has not previously been investigated. The authors show the types of investment situations in which analytical and intuitive thinking and biases occur.

Decision-making behaviour of property investors has been the focus of real estate research for decades. Yet, there is no consensus on a generally accepted behavioural model that suits all market conditions and investment peculiarities. While scholars have emphasized the significance of rational reasoning and cognitive influences on property investment decision-making preferences, gaps remain regarding the impacts of market disruptions on property investment decision-making behaviour. This paper, therefore, explores the institutional framework as a theoretical basis for understanding property investment decision-making behaviour amidst market disruptions.

This paper reports a systematic review of pertinent theories that have explored decision-making behaviour. Commencing with an index search of high impact peer-reviewed journals, a snowball identification of relevant citations was also deployed to assemble theories from the field of psychology, sociology, economics and urban studies. Although a preliminary dataset of 82 papers with relevant decision-making theories was identified, the final dataset comprised 27 papers and 7 theories. The identified theories were reviewed accordingly.

The outcome of this study suggests that the institutional framework offers a robust approach to property investment decision-making amidst market disruptions, especially because it recognizes the dynamism in the investment environment and the roles of formal and informal rules that exist therein.

This study advances the current understanding of property investment decision-making behaviour by recognising the dynamism of the investment environment and how factors such as principles, laws, tradition and routines can lead to an established and legitimate standard of reasoning. By integrating both rational and cognitive attributes, the study provides a holistic perspective to property investors' decision-making behaviour in response to market disruptions.

This article aims to systematically review the literature published in recognized journals focused on cognitive heuristic-driven biases and their effect on investment management activities and market efficiency. It also includes some of the research work on the origins and foundations of behavioral finance, and how this has grown substantially to become an established and particular subject of study in its own right. The study also aims to provide future direction to the researchers working in this field.

For doing research synthesis, a systematic literature review (SLR) approach was applied considering research studies published within the time period, i.e. 1970–2021. This study attempted to accomplish a critical review of 176 studies out of 256 studies identified, which were published in reputable journals to synthesize the existing literature in the behavioral finance domain-related explicitly to cognitive heuristic-driven biases and their effect on investment management activities and market efficiency as well as on the origins and foundations of behavioral finance.

This review reveals that investors often use cognitive heuristics to reduce the risk of losses in uncertain situations, but that leads to errors in judgment; as a result, investors make irrational decisions, which may cause the market to overreact or underreact – in both situations, the market becomes inefficient. Overall, the literature demonstrates that there is currently no consensus on the usefulness of cognitive heuristics in the context of investment management activities and market efficiency. Therefore, a lack of consensus about this topic suggests that further studies may bring relevant contributions to the literature. Based on the gaps analysis, three major categories of gaps, namely theoretical and methodological gaps, and contextual gaps, are found, where research is needed.

The skillful understanding and knowledge of the cognitive heuristic-driven biases will help the investors, financial institutions and policymakers to overcome the adverse effect of these behavioral biases in the stock market. This article provides a detailed explanation of cognitive heuristic-driven biases and their influence on investment management activities and market efficiency, which could be very useful for finance practitioners, such as an investor who plays at the stock exchange, a portfolio manager, a financial strategist/advisor in an investment firm, a financial planner, an investment banker, a trader/broker at the stock exchange or a financial analyst. But most importantly, the term also includes all those persons who manage corporate entities and are responsible for making their financial management strategies.

Currently, no recent study exists, which reviews and evaluates the empirical research on cognitive heuristic-driven biases displayed by investors. The current study is original in discussing the role of cognitive heuristic-driven biases in investment management activities and market efficiency as well as the history and foundations of behavioral finance by means of research synthesis. This paper is useful to researchers, academicians, policymakers and those working in the area of behavioral finance in understanding the role that cognitive heuristic plays in investment management activities and market efficiency.

This study aims to explore and clarify the mechanism by which recognition-based heuristic biases influence the investment decision-making and performance of individual investors, with the mediating role of fundamental and technical anomalies.

The deductive approach was used, as the research is based on behavioral finance's theoretical framework. A questionnaire and cross-sectional design were employed for data collection from the sample of 323 individual investors trading on the Pakistan Stock Exchange (PSX). Hypotheses were tested through the structural equation modeling (SEM) technique.

The article provides further insights into the relationship between recognition-based heuristic-driven biases and investment management activities. The results suggest that recognition-based heuristic-driven biases have a markedly positive influence on investment decision-making and negatively influence the investment performance of individual investors. The results also suggest that fundamental and technical anomalies mediate the relationships between the recognition-based heuristic-driven biases on the one hand and investment management activities on the other.

The results of the study suggested that investment management activities that rely on recognition-based heuristics would not result in better returns to investors. The article encourages investors to base decisions on investors' financial capability and experience levels and to avoid relying on recognition-based heuristics when making decisions related to investment management activities. The results provides awareness and understanding of recognition-based heuristic-driven biases in investment management activities, which could be very useful for decision-makers and professionals in financial institutions, such as portfolio managers and traders in commercial banks, investment banks and mutual funds. This paper helps investors to select better investment tools and avoid repeating the expensive errors that occur due to recognition-based heuristic-driven biases.

The current study is the first to focus on links recognition-based heuristic-driven biases, fundamental and technical anomalies, investment decision-making and performance of individual investors. This article enhanced the understanding of the role that recognition-based heuristic-driven biases plays in investment management. More importantly, the study went some way toward enhancing understanding of behavioral aspects and the aspects' influence on investment decision-making and performance in an emerging market.