Search results

The purpose of this paper is to clarify the relationship between an individual investor’s personality trait and his perceived investment performance. It proposes a novel conceptual framework that integrates social influence (as a moderating construct) and outlines the role of personality in determining the perceived investment performance during the investment decision-making process.

A questionnaire-based survey was conducted to collect responses from 396 individual investors through stratified and quota sampling approach. The collected data were then analysed using both hierarchical regression analysis and structural equation modelling to evaluate the strength of the relationship between the constructs, namely, personality trait, perceived investment performance and social influence.

This study suggests that social influence positively moderates the relationship between extraversion-perceived investment performance, whereas it negatively moderates the relationship between agreeability-perceived investment performance.

This study has certain limitations. First, this work follows a modelling approach which is more centred towards the prediction of relationships. Second, because of choosing a research approach (since the study has been conducted in one country, i.e. India), the results of the study may lack generalisability. Therefore, further studies could be encouraged to test the proposed hypotheses.

Insights from this study suggest that investors should look in for their personality traits while making an investment decision. In fact, psychologically modified portfolios should be developed as per the personality traits of the investors.

The study, perhaps, is the only study to apply social influence in a framework using Big Five personality traits as a possible factor to understand the individual differences in terms of perceived investment performance.

The purpose of this study is to analyse the mediation effect of psychological biases, namely, financial risk tolerance (FRT) and financial overconfidence on the relationship between personality traits of individual investors and their investment performance (perceived) in the context of a developing financial market such as Indian Capital Markets.

The study uses both quantitative and cross-sectional approach to collect response from 983 individual investors through a questionnaire. The questionnaire had segments that were designed to assess their personality traits, investment performance and psychological traits. The personality traits were assessed through Big-Five personality inventory (TIPI), the psychological traits, i.e. FRT was measured through FRT scale, whereas financial overconfidence was measured through three basic concepts, namely, over-precision, over-placement and overestimation. Investment performance was assessed through perceived investment performance measures. The collected data was then analysed through AMOS and SPSS to validate the hypothesised relationship.

Findings of the study depict that personality traits of individual investors are related with their FRT, financial overconfidence and perceived investment performance. In addition, FRT and financial overconfidence are negatively related to perceived investment performance. Furthermore, mediation analysis showed that the two psychological traits were found to fully mediate the relationship between personality traits and investment performance.

There are still certain limitations of the present study. First, the questionnaire pre-testing and sampling technique allowed for only for those investors who had an experience of investment in financial markets; however, the quantification of actual investment performance for each investor was impossible, and thus the actual investment performance was not determined. Second, this study focusses on the mediating role of financial overconfidence and financial risk-taking, as such it is known that levels of financial overconfidence and risk-taking depend on many other extraneous factors such as socio-economic status and financial knowledge.

The findings of the present study is useful for financial companies, policymakers as well as issuers of financial securities, who can keep a watch on these behaviour-related traits before issuing a security in the financial market and for the financial service providers; this study would be beneficial to design a “behavioural portfolio” according to the personality and psychological traits of their clients.

Through this study, the investors can recognise their personality traits and psychological biases and take sound and good investment decisions and can also maximise their level of overconfidence. This increased level of overconfidence will propel them further to actively and frequently participate in financial markets and make financial gains.

The essence of this paper lies in the identification of personality traits and psychological traits of individual investors, and their relationship with investment performance. Studies such as this are less prevalent in the context of a developing country such as India. Moreover, to the best of the authors’ knowledge, this paper is first of its kind to study the meditating effect of psychological biases in the relationship between personality traits and investment performance.

This article aims to clarify the mechanism by which herding behavior influences perceived market efficiency, investment decisions and the performance of individual investors actively trading on the Pakistan Stock Exchange (PSX).

The deductive approach was used in this study, as the research is based on the theoretical framework of behavioral finance. A questionnaire and cross-sectional design were employed to collect data from the sample of 309 investors trading on the PSX. The collected data were analyzed using SPSS and AMOS graphics software. Hypotheses were tested using structural equation modeling (SEM).

The article provides further empirical insights into the relationship between herding behavior and investment management and perceived market efficiency. The results suggest that herding behavior has a markedly negative influence on perceived market efficiency and investment performance, while positively influencing the decision-making of individual investors.

The current study is the first to focus on links between herding behavior and investment management activities and perceived market efficiency. This article enhances the understanding of the role that herding behavior plays in investment management and, more importantly, it improves understanding of behavioral aspects and their influence on investment decision-making in an emerging market. It also adds to the literature in the area of behavioral finance, specifically the role of herding behavior in investment management; this field is in its initial stage, even in developed countries, while little work has been done in developing countries.

Interest has been generated for a while in unpacking the “black box” and providing a contingency approach to understanding the effects of human resource management (HRM) practices. This study aims to investigate the possibility that the relationship between human capital development and task performance is mediated by work self-efficacy and work engagement – and that this mediation depends on the degree of perceived investment in employees’ development.

Based on a synthesis of theories –systems, social cognitive and social identity theories – a moderated mediation model is tested using data from 220 academic employees and Heads of Departments from multiple Higher Educational Institutions in Ghana. AMOS and Hayes Conditional Process analysis were used to analyze the data.

The study finds support for a bundle of human capital investments boosting work self-efficacy and motivating work engagement, as well as task performance. Consistent with expectations, the mediation in human capital investments to task performance via work self-efficacy is conditional on the degree of perceived investment in employees’ development.

The study provides the first attempt at studying a conditional process model in human capital development by addressing whether, how and when human capital system functions more or less effectively, and provides knowledge on the “black box” in HRM.

This paper aims to investigate the influence of investors’ attitudes on their decision-making. Two subjective perception factors, brand familiarity and perceived trust, were proposed to influence investors’ attitudes and decision-making. This paper also suggests the potential mediating effect of attitude on decisions on Islamic stock investment.

Data were collected using a primary data collection method. Questionnaires were used and distributed to a sample size of 250 Malaysian investors in the Klang Valley aged between 25 and 50 years old. Data were analysed using SPSS and Structural Equation Modelling–Partial Least Squares.

Seven hypotheses were proposed, and six were supported. The findings show that brand familiarity and perceived trust have a significant relationship with attitude. Brand familiarity and attitude have a significant relationship with investment decision behaviour. The relationship between perceived trust and attitude also reveals significant findings. However, perceived trust was found to have an insignificant relationship with investment decision behaviour. Mediation analysis shows that attitude mediates the relationship between brand familiarity and investment decision behaviour. Attitudes are also found to mediate the relationship between perceived trust and investment decision behaviour.

It is recommended that publicly listed companies emphasize and devote extra efforts to enhancing investors' familiarity with and favour their brand. In addition, to build an investor’s trust, a company must be consistent in dividend payments. Such action may improve the probability of the company’s stock being chosen for investment.

Subjective perceptions of investors' decision-making in Islamic stock investment have yet to be thoroughly explored in the literature, especially in the Malaysian context. In this paper, the indirect relationship between brand familiarity and perceived trust in attitude is tested. This paper contributes to consumer behaviour and marketing of Islamic stock investment research area.

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.

Investors' behavior in financial markets is often under the influence of various psychological and cognitive factors, as well as personality characteristics. This research explores which behavioral factors and personality traits affect investment decisions and, consequently, investment performance.

A survey analysis was conducted on a sample of 310 investors in Croatia. Partial least squares structural equation modeling was used to obtain the results.

Overconfidence heuristic, prospect theory elements, emotions and stability and plasticity (as big two personality dimensions) positively affect investment decisions, while herding has a negative effect. Investment decisions, observed through the preference for long-term investments, consequently have a positive effect on the investment performance satisfaction.

This research proposes a unique comprehensive model of the effect of numerous different cognitive and psychological behavioral factors on investment decisions. Furthermore, the influence of investment decisions on investment performance is observed simultaneously. Understanding human behavior based on their personal characteristics can help investors to make better investment decisions. Advisors can learn from human behavior and guide their clients in the right direction when it comes to stock investment. Scientists will be able to replicate the model with other data and make comparative analyses.

This study aims to investigate factors that influence the attitudes and intentions of investors towards environmental, social and governance (ESG) stocks in the presence of perceived risk as a moderator.

Data was collected through an online survey method from 341 investors with more than three years of investing experience. Smart PLS was used to analyse the data using two-stage structural equation modelling. First, a measurement model was performed for construct reliability and validity, followed by path analysis (structural model) for hypothesis testing and overall model predictability.

The findings show that both environmental concern (altruistic value) and economic concern (egoistic value) are crucial for the attitude and intention of investors to invest in ESG-backed stocks; however, environmental concern was found to be a more significant predictor of their behaviour, showing evidence of pro-environmental values in the decision-making of utility-seeking individuals. No significant impact of perceived risk was evident as a moderator of the relationship between attitude and intention towards ESG stocks.

The study's findings have implications for fund managers, policymakers, and the government. Values as antecedents were found to be influential in shaping investors’ attitudes and intentions towards the environmental cause. Fund managers could include more ESG-compliant companies in their portfolios, and the government can play an important role in encouraging investors by providing financial incentives. Corporates should also take strategic steps to adopt green production processes to secure long-term, sustainable capital funding.

To the best of the authors’ knowledge, there has been no research done in the field of ESG investing that takes into account the values (both altruistic and egoistic) of investors as potential antecedents of their attitudes and intentions.

This paper aims to show how overconfidence influences the decisions and performance of individual investors trading on the Pakistan Stock Exchange (PSX), with the mediating role of risk perception and moderating role of financial literacy.

The deductive approach was used, as the research is based on the theoretical framework of behavioural finance. A questionnaire and cross-sectional design were employed for data collection from the sample of 183 individual investors trading on the PSX. Hypotheses were tested through correlation and regression analysis. The Baron and Kenny method was used to test the mediation effect of risk perception and the moderation effect of financial literacy. The results of mediation and moderation were also authenticated through the PROCESS and structural equation modelling (SEM) technique.

The results suggest that risk perception fully mediates the relationships between the overconfidence heuristic on the one hand, and investment decisions and performance on the other. At the same time, financial literacy appears to moderate these relationships. The results suggest that overconfidence can impair the quality of investment decisions and performance, while financial literacy and risk perception can improve their quality.

The paper encourages investors to base decisions on their financial capability and experience levels and to avoid relying on heuristics or their sentiments when making investments. It provides awareness and understanding of heuristic biases in investment management, 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 heuristic biases. They can improve their performance by recognizing their biases and errors of judgment, to which we are all prone, resulting in better investment decisions and a more efficient market. The paper also highlights the importance on relying on professional knowledge, giving it greater weight than feelings and biases.

The current study is the first to focus on links between overconfidence, financial literacy, risk perception and individual investors' decisions and performance. This article enhanced the understanding of the role that heuristic-driven bias plays in the investment management, and more importantly, it went some way towards enhancing understanding of behavioural aspects and their influence on the investment decision-making and performance in an emerging market. It also adds to the literature in the area of behavioural finance specifically the role of heuristics in investment strategies; this field is in its initial stage, even in developed countries, while, in developing countries, little work has been done.

This study aims to assess the impact of personality traits, risk perception and perceived coronavirus disease 2019 (COVID-19) disruption on the investment behavior of individual investors in the Indian stock market.

This study adopts a survey approach. The sample comprises 315 active retail investors investing in the Indian stock exchange. Two-stage analysis technique regression and Artificial Neural Network (ANN) were used for data analysis. Study hypotheses were tested through regression and ANN was adopted to validate the regression results.

Two regression models were modeled to test the research hypotheses. Findings showed that risk perception and COVID-19 disruption have a significant positive and neuroticism has a significant negative impact on short-term investment decisions, while the role of conscientiousness in determining short-term investment decisions was not found significant. Results also showed a positive impact of neuroticism and conscientiousness and a negative impact of risk perception on long-term investment decisions. The role of COVID-19 disruption was found negative but insignificant in predicting long-term investment decisions.

This study has practical implications for many parties like retail investors, financial advisors and policymakers. This study will assist the investors to realize that they do not always take rational financial decisions. This study will suggest the financial advisors to use the knowledge of behavioral finance in making the advisors' advisory and wealth management decisions. This study will also assist the policymakers to outline behaviorally well-informed policy decisions to protect the interests of investors.

India is one of the fast-growing economies in the world. India has a vast population of active investors and determining investors' investment behavior adds novelty to this study as developed economies have remained the main focus of previous studies. The other novel feature of this study is that this study tries to assess the impact of COVID-19 disruption along with personality traits and risk perception on investment behavior. The other valuable factor of this study is the use of ANN to predict the relative importance of the exogenous variables.