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The purpose of this study is to examine the role of personality traits (PTs) of individual investors on their investment intention (II). Further, to study the mediating role of overconfidence (OC) bias and financial literacy (FL) on the relationship between PTs and II.

The present study uses the quantitative approach for the data collection from the sample of 327 Indian investors investing in the stock market. The questionnaire was divided into segments to assess the investor’s PTs, OC, FL and II. The PT has been measured using the Big Five Personality Traits. Confirmatory factor analysis was used to test the reliability and validity of the constructs. The hypothesis was tested using structural equation modeling.

Findings of the study show that the PTs of an individual investor are associated with FL and II but insignificant with OC bias. Further, the FL and OC bias have a positive and significant influence on II. In addition, the mediation analysis showed that FL partly mediates the relationship between PTs and II.

The present study is helpful for financial companies, government, personal finance advisors and individual investors; they can keep in mind the behavior-related traits that can influence the investment decisions and design the portfolio accordingly. The policy-makers can implement programs on FL to enhance investment decisions in India.

This paper is unique that covers the mediating role of psychological bias, i.e. OC bias and FL, between the PTs and II of an Indian investor.

Purchasing real estate is one of the most important and complex decisions in a life of an individual, which should take numerous factors into account. The purpose of this research is to identify which behavioral factors significantly affect the intention to buy real estate. Since the real estate market is continuously changing, along with other economic and life conditions, it is expected that different generations have different characteristics which affect their behavior; therefore, it is important to analyze generational influence on buyers' behavior.

A survey analysis was conducted on a sample of 434 respondents in Croatia. Partial least squares structural equation modeling was used to obtain the results. The moderating effect of generational affiliation was observed.

Overconfidence significantly affects intention to buy real estate, but it doesn't affect the level of importance individuals give to financial factors. On the other hand, herding significantly affects the level of importance given to financial factors, whereas it does not directly affect buying intention. A significant moderating effect of generational affiliation was found for the impact of overconfidence on financial factors, suggesting a negative effect for younger generations and a positive effect for older generations.

This research proposes a novel unique model with both behavioral and financial factors as predictors of the intention to buy real estate, together with generational differences in buyers' behavior. Understanding normal human behavior is crucial to determine how buyers' decisions and intentions change under the influence of certain biases or characteristics such as generational affiliation.

This study aims to examine the interconnectedness between investors' perceptions of assets and their behavioral factors with investment decisions during the COVID-19 pandemic in the real estate business in Pakistan. In this regard, this study predicted investment decisions using individuals’ perceptions of the asset (perceived asset quality, perceived asset price and perceived asset value [PAV]),and behavioral biases (overconfidence [OC], herding [HD], disposition effect [DE] and risk aversion [RA]).

This study used a survey-based instrument to gather a total of 189 usable samples. The sample data were analyzed using partial least square structural equation modeling.

The findings of this study indicated that PAV, OC and HD significantly predicted the investment decision, whereas DE and RA had an insignificant impact on investment decisions in the real estate business. In addition, this study found that PAV is the most important factor to predict investment decisions in real estate during the COVID-19 crisis.

The authors are certain that the study findings reinforce policy implications for regulators, policymakers and financial institutions. The study findings are also useful and relevant if the real estate sector experiences a crisis in the future.

The purpose of this paper is to empirically analyze whether and how managerial overconfidence affects stock price crash risk.

Based on a large sample of Chinese non-state-owned firms from 2000 to 2012, this study employs methods including multiple linear regression model, Heckman two-stage treatment effect procedure, firm fixed effects model and event study to clarify the causality relationship between managerial overconfidence and crash risk.

The authors find that firms with overconfident managers (chief executive officer or board chairs) are more likely to experience future stock price crashes than firms with non-overconfident managers. The effect of overconfidence on crash risk is more pronounced for firms with low transparency, suggesting that firm opacity facilitates overconfident managers’ bad news hoarding activities, which, in turn, increases stock price crash risk. The authors also show evidence that overconfident managers tend to disclose good news in a timely manner.

The authors add to the growing literature on stock price crash risk. Specifically, the authors find that the cognitive bias of board chair plays an important role in the bad news hoarding activities, thereby increasing the likelihood of stock price crash. This study also contributes to the literature that addresses the effects of managerial overconfidence on corporate finance issues.

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.

The purpose of this paper is to determine how CEO overconfidence influences firm’s future risk in a sample of Chinese listed firms. It further examines the moderating effect of institutional investors on the association between CEO overconfidence and future firm risk.

The initial sample consists of Chinese A-share issuing firms listed on Shanghai and Shenzhen Stock Exchanges during the period starting from 2000 to 2017. This study classifies a CEO as overconfident if the forecasted profits of the firm are greater than the actual profits for majority of the time during the tenure of the CEO. Ordinary least squares regression is used as the primary estimation method for generating the results, however, firm fixed effects and two-stage least squares regressions have also been used for verifying the robustness of the results.

The results demonstrate that CEO overconfidence leads to an escalation in firm’s risk level over the subsequent years. However, the intensity of this positive association is weaker in state-owned firms. Analysis of the moderating effect of institutional investors reveals that only active institutional investors, specifically mutual funds and foreign institutional investors, play their governance role in reducing the effect of CEO overconfidence on firm’s risk level. Furthermore, the moderating effect of active institutional investors is weaker in state-owned firms.

The empirical evidence obtained by this study suggests that CEOs should exercise extreme diligence in decision-making. They must analyze a situation based on realistic facts and figures, rather than having misperception about their excessive abilities in controlling the outcomes of a situation. The findings also imply that regulators and policymakers should formulate strategies for motivating mutual funds and foreign investors to increase their shareholding in Chinese firms.

To the best of the authors’ knowledge, this is the first study that examines the impact of CEO overconfidence on future firm risk, not the current firm risk. Besides, literature regarding the role of external governance mechanisms in the context of behavioral biases is extremely scant. This study contributes to the literature by analyzing how the association between CEO overconfidence and firm’s future risk is influenced by the institutional investors’ ownership.

The current study aims to investigate the impacts of two behavioral biases, namely, loss aversion and overconfidence on the performance of US companies. First, the impact of loss aversion on the economic performance of companies was assessed. Second, the impact of overconfidence on market performance was discussed.

This study used around 6,777 quarterly observations on the population of US-insured industrial and services companies over the 2006-2016 period. Ordinary least squares (OLS) regression in two panel data models were used to test the hypotheses formulated for the study.

It was documented that the loss-aversion bias negatively affects the economic performance of companies and this is achieved for both sectors. In contrast, the findings suggest that overconfidence positively affects market performance of industrial firms but negatively affects market performance in service firms. Further robust evidence was found that overconfidence bias seems to be dominant, and hence, investors may tend to be more overconfident rather than more loss-averse.

This research can be extended by focusing on the following question: What is the impact of the contradictory (positive and negative) effects of an investor's loss aversion and overconfidence on the US company performance in case of realization of a stock market crisis or stock market crash?

Anchored in the role of a social arbiter, the purpose of this study is to examine whether and how media coverage has an impact on CEO overconfidence and further explore how media ownership and Confucianism affect the relationship in the Chinese context.

Using a sample of 1,492 Chinese listed companies from 2010 to 2015, the study adopts random effects models to empirically analyze the effect of media coverage on CEO overconfidence and the roles of media ownership and Confucianism.

The paper finds that media coverage is significantly and positively associated with CEO overconfidence, and the positive relationship between media coverage and CEO overconfidence becomes stronger for state-controlled media. What is more, the influence of media coverage on CEO overconfidence is attenuated for those firms located in stronger Confucianism atmosphere. A further analysis reveals that different tenors of media coverage yield asymmetric effects.

The paper provides a new and solid support for the argument that media praise stimulates CEO overconfidence and increases the knowledge about under what conditions CEO overconfidence varies, broadly speaking which fosters the development of upper echelons theory (UET). Meanwhile, the results extend the literature on media effect and information processing. The findings are also beneficial to improve corporate decisions and government regulation on Chinese media systems.

This paper aims to identify the impacts of sociodemographic covariates on behavioural biases (BB) scores; the psychometric evidence of the BB measurement instruments; and the main BB that influences the decision-making of individual investors.

Papers were retrieved through search using keywords in ten databases. This systematic review is based on 69 peer-reviewed papers, most of which were published between 2017 and 2021. The relevance of the included papers was assessed through the analysis of statistical/psychometric methods used, and content analysis of the BB literature and its sociodemographic correlations.

Overconfidence is higher in men and not related to age. There was no consensus regarding the relationship between BB and other sociodemographic variables. Most measuring instruments are ad hoc, showing ≤ 4 types of psychometric evidence and assessing ≤ 9 BB. Therefore, the findings demonstrate that there is no gold standard instrument for measuring investors’ BB. Furthermore, 37 BB were cited as influencers of individual investors’ decision-making and overconfidence, herding, anchoring, representativeness and loss aversion were the most prevalent.

Considering that very few systematic reviews have been published in the behavioural finance area, this paper highlights the current state-of-the-art and identifies significant gaps in the literature that can be explored by further research.

To the best of the authors’ knowledge, this is the first systematic review that analyses the psychometric properties of instruments used for individual investors BB assessment.

To determine what role overconfidence plays in the forced removal of CEOs internationally.

The study makes use of the Fortune Global 500 list.

We find that overconfident CEOs face significantly greater hazards of forced turnovers than their non-overconfident peers. Regardless of important differences in culture, law, and corporate governance across countries, overconfidence has a separate and distinct effect on CEO turnover. Overconfident CEOs appear to be at greater risk of dismissal regardless of where in the world they are located. We also discover that overconfident CEOs are disproportionately succeeded by other overconfident CEOs, regardless of whether they are forcibly removed or voluntarily leave office. Finally, we determine that the dismissal of overconfident CEOs is associated with improved market performance, but only limited enhancement in accounting returns.

This study is unique with its examination of overconfidence among global CEOs rather than being limited to U.S. chief executives. It also provides insight into how overconfidence is related to national cultures, legal systems and corporate governance mechanisms.