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The purpose of this article is to clarify the mechanism by which underconfidence heuristic-driven bias influences the short-term and long-term investment decisions of individual investors, actively trading on the Pakistan Stock Exchange.

Investors' underconfidence has been measured using a questionnaire, comprising numerous items, including indicators of short-term and long-term investment decision. In order to establish the influence of underconfidence on the investment decisions in both the short and long run, a 5-point Likert scale questionnaire has been used to collect data from the sample of 203 investors. The collected data were analyzed using SPSS and AMOS graphics software. Hypotheses were tested using structural equation modeling technique.

This article provides further empirical insights into the relationship between heuristic-driven biases and investment decision-making in the short and long run. The results suggest that underconfidence bias has a markedly negative influence on the short-term and long-term decisions made by investors in developing markets. It means that heuristic-driven biases can impair the quality of both short-term and long-term investment decisions.

This article encourages investors to avoid relying on cognitive heuristics, namely, underconfidence or their feelings when making short-term and long-term investment strategies. It provides awareness and understanding of heuristic-driven biases in investment management, which could be very useful for finance practitioners' such as 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 its financial management strategies. They can improve the quality of their decision-making by recognizing their behavioral biases and errors of judgment, to which we are all prone, resulting in more appropriate investment strategies.

The current study is the first to focus on links between underconfidence bias and short-term and long-term investment decision-making. This article enhanced the understanding of the role that heuristic-driven bias plays in the investment management and more importantly, it went some way toward enhancing understanding of behavioral aspects and their influence on the investment decision-making in an emerging market. It also adds to the literature in the area of behavioral 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 work uses survey data from the Portuguese Securities Market Commission (Comissão de Mercado de Valores Mobiliários – CMVM) to examine financial literacy and literacy bias. The main objective of this study is to shed light on this issue by identifying the individual characteristics that are associated with financial literacy, namely overconfidence and underconfidence, which in turn might help explain individuals' financial decisions. The study distinguishes two groups, i.e. students and nonstudents, and considers several characteristics that are usually employed in this stream of research.

The data are based on a survey conducted by a partnership between the CMVM and a consortium of Portuguese universities. This paper has a three-fold aim. First, it studies the main individual features associated with objective financial literacy. Second, it analyzes the relationship between those variables and the bias between self-perceived and objective literacy, distinguishing overconfidence and underconfidence. Third, and most originally, this framework was also used to examine the differences between students and nonstudents. Those aims are pursued using cross-sectional ordinary least squares (OLS) regressions, except for the study of the literacy bias, for which the authors use an ordered probit.

Literacy is higher in individuals of the male gender who are older, have higher incomes, live in metropolitan areas, are highly educated, have a field of study related to finance and have high self-perceived literacy. Younger people are more overconfident. Unconditionally, women are less overconfident than men, but conditionally, they overestimate their knowledge. People holding securities and with a field of study related to finance are more overconfident. The gender effect is mainly driven by students, and the impact of a field of study and of holding securities on overconfidence decreases and increases, respectively, for students. The results highlight the importance of financial education.

Due to the way that the questionnaire was made available, there is no guarantee that the sample is representative of the Portuguese general population, or, for that matter, representative of the typical Portuguese retail investors or households. Also, there is no guarantee that the same individual did not answer the questionnaire more than once, although this is highly improbable. The link to the online questionnaire was only transmitted within e-mail databases owned by the CMVM and Portuguese universities, so the authors cannot guarantee its unbiasedness.

The authors' results may help the National Plan for Financial Education (the acronym in Portuguese is PNFF) fine-tune the required actions towards different target groups and, most importantly, highlight that different groups may require different approaches aiming to narrow the gap between objective and perceived literacy. The first step should be creating procedures to provide feedback on the objective and perceived literacy of those who enroll in financial formation programs.

The study distinguishes two groups, students and nonstudents, providing additional insights that might guide policymakers on how to structure financial education to enhance individual financial behavior. This is especially important in a country such as Portugal which has the lowest objective financial literacy in the Eurozone.

This study contributes to the financial literacy literature, in particular to the stream of research that focuses on psychological biases, by shedding light on the factors associated with both individual overconfidence and underconfidence. Differentiating between students and nonstudents provides additional insights, which might guide policymakers on how to structure financial education to enhance individual financial behavior.

This study analyses the role of individuals' objective financial knowledge in shaping preferences for ethical intermediaries and sustainable investments in Italy. Another goal of this study is to assess the impact of individuals' misperceptions about their own financial knowledge and to test for gender-related differences in attitudes towards socially responsible investing (SRI).

Using nationally representative microdata from the Bank of Italy’s “Italian Literacy and Financial Competence Survey” (IACOFI), the authors use probit models, extended to account for potential endogeneity issues, to assess the causal effects of financial knowledge and confidence on stated preferences for SRI. Empirical models also allow to explicitly assess the moderating role of gender on the effects of financial knowledge and confidence on attitudes towards sustainable investing.

Results indicate that individuals' preferences for sustainable finance significantly increase with financial knowledge, suggesting that inadequate financial competencies represent a barrier to participation in SRI. At the same time, lack of confidence in one’s own financial knowledge significantly hampers attitudes towards sustainable investments. Furthermore, the authors show that women have a greater preference for sustainable finance than men and point out that financial knowledge and confidence exert heterogenous effects on attitudes towards SRI.

This study provides several contributions to the literature on SRI. First, the authors give evidence of the causal effect of financial knowledge on preferences for both ethical financial intermediaries and sustainable investments. Moreover, this is the first study to investigate the role of financial underconfidence bias in shaping individuals' SRI attitudes. Finally, extending previous research, the authors assess differences in SRI preferences between women and men and provide novel evidence on gender-related heterogeneity in the effects of financial knowledge and underconfidence.

This study examines the association between financial literacy confidence and financial satisfaction. The authors posit that overconfident poor performers will experience greater levels of financial satisfaction and underconfident high performers will experience lower levels of financial satisfaction.

Based on the results of an objective financial literacy assessment and a subjective financial literacy assessment, variables measuring study participants' financial literacy overconfidence and financial literacy underconfidence are constructed. The variables are analyzed for their associations with financial satisfaction.

The results from the multivariate analysis suggest that financial literacy overconfidence (underconfidence) is associated positively (negatively) with higher levels of financial satisfaction and is associated negatively (positively) with lower levels of financial satisfaction.

The discussion first highlights that to increase objective financial literacy, the disconnect between subjective financial literacy assessment and objective financial literacy must be recognized. Secondly, the discussion encourages financial literacy and education programs to incorporate behavioral education, which can provide learners with an awareness of the role of financial literacy confidence when making financial decisions.

Financial literacy overconfidence can result in an inability to recognize the realities of one's financial situation. Individuals who are overconfident in their level of financial literacy preformed lower on an objective assessment of their financial literacy, yet also tended to have a greater sense of financial satisfaction. This finding not only suggests that financial literacy overconfidence results in financial ineptitude, but also suggest that financial literacy overconfidence can result in specious conclusions regarding one's financial situation. The financial literacy underconfidence finding suggests that those who are financial literate, and who are also underconfident in their financial literacy, are less likely to have high financial satisfaction.

A recent change to audit workpaper review has been the movement toward delegating more review tasks to senior auditors and including more staff auditors in the review process. This study investigates the efficiency and effectiveness implications of this change. It considers the calibration of reviewers of different levels of experience on both conceptual and mechanical errors. The results reveal that reviewers are miscalibrated (overconfident) in their workpaper error judgments. No differences are found in the calibration of staff and senior auditors across hierarchical level or type of error. The implications for audit effectiveness are discussed in the paper.

This paper aims to investigate the relationship between perceived and actual financial literacy, among generally literate people, pertaining to market participation and market participation intensity. It examines such market participation in both the traditional segments of the financial markets and the new segments [cryptocurrencies, structured retail products (SRPs) and crowdfunding].

The data are from a survey conducted in 2020 by the Portuguese Securities Commission in cooperation with 12 Portuguese universities. The final sample comprises 2,054 respondents. The basic and advanced financial literacy indexes were calculated following van Rooij et al. (2011). This paper uses probit regressions and ordinary least squares regressions with robust errors.

This study shows that even highly literate people are influenced by their perceived financial knowledge and its bias toward their actual skills. However, overconfidence has no significant association with securities market participation but rather is marginally correlated with the intensity of such participation. Underconfidence is negatively related to both. Moreover, the relationship between advanced financial literacy and overconfidence pertaining to participation in more complex market segments depends on the product type. Specifically, overconfidence has a positive relationship with participation in cryptocurrencies and SRPs but not with crowdfunding.

The securities market regulators should take note that participation in some complex market segments, even among literate people, is associated with investor overconfidence. Given that effective financial literacy correlates with participation in some more complex financial market segments and not others, the implication for future research is that the performance of individual investors may differ across these different segments. Additionally, this paper argues that the metrics used to assess financial literacy must take cognizance of the topics required to participate in the new market segments of financial markets.

This paper augments this stream of literature in several respects. First, it focuses on highly educated and trained people rather than the general population. Second, while the previous literature measures market participation using a simple dummy to identify respondents who invest in stocks, this paper also measures the intensity of participation. In addition, this study investigates the financial literacy effect from participation in the more complex segments of the securities markets, as in the case of cryptocurrencies and SRPs.

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.

The purpose of this paper is to study the effect of credit record overconfidence on the use of alternative financial services (AFSs).

Using data from the 2018 National Financial Capability Study (NFCS), the authors estimate logistic regressions on the use of at least one AFS by adding a credit record confidence variable that captures deviations between self-assessments of credit record management and the number of reported behaviors that would negatively affect aspects of a Fair Isaac Corporation (FICO) score.

The authors find that respondents with credit record overconfidence have over two times higher odds (123.9%) of using AFS than the odds of respondents with financial knowledge overconfidence (46.8%), relative to their reference categories. When compared directly, those with only credit record overconfidence have 32.6% higher odds of using AFS than those with only financial knowledge overconfidence.

The results provide implications for education programs, not only for vulnerable groups at higher risk for AFS use but also for those with cognitive biases, such as credit record overconfidence. Potential solutions include personal financial education that includes debiasing and behavioral techniques for overconfidence.

This paper studies, for the first time, the effect of deviations between actual and perceived credit record management on AFS use.

People are increasingly responsible for making sound financial decisions to foster their financial satisfaction and well-being, which magnifies the importance of financial literacy, and this concept and measurement is still not yet crystallized in the literature, specifically capturing different behavior perceptions. Moreover, there is not a distinction based on different classifications of behavior, such as over or underconfidence, to understand the relation between literacy and decision process. To fill this gap, this paper aims to investigate whether the financial literacy conceptual model proposed applies similarly to every group independently of their previous self-confidence perception. For this purpose and quality control, OECD (2016) data were used with a final sample of 1,487 Brazilian citizens. Quantitative analysis technique using partial least squares structural equations path modeling and differences between groups using multi-group analysis was applied. In line with general studies, when analyzing the financial literacy usual model for the group as a whole, financial knowledge construct positively influences self-confidence, and both together positively affect financial behavior. However, for individuals with low financial knowledge and low self-confidence, as well as for those with too much or too little confidence, the model did not hold. Therefore, self-confidence perception influences the way financial knowledge is used for financial decisions and should be addressed in financial education and training to be more effective.

To operationalize the variables and test the paper’s hypotheses, the authors used the methodology developed in OECD (2016), based on the research instrument’s Brazilian application adapted from the questionnaire developed in OECD (2015), with data initially used and made available by Garber and Koyama (2016). Based on the recommendations of Hair Jr et al. (2017a, 2017b), the authors used partial least squares modeling PLS-PM (SmartPLS 3.2.6) to estimate the structural models.

Concerning structural relationships, the final model showed knowledge with a positive influence on self-confidence, self-confidence with a positive effect on behavior and knowledge with a positive influence on behavior, both directly and, through its relationship with self-confidence, indirectly. This underscores that, for the total sample, the greater people’s knowledge and self-confidence, the better their behavior. The unexpected absence of attitude in the final model, even allowing for potential measurement problems, brings up an important reflection on the mediating effect that the self-control variable may exert between attitude and behavior. A person may believe that saving for the future is important (attitude) but whether they actually save (behavior) may depend on self-control, which is needed to prevent immediate gains from being prioritized in practice.

The findings reported so far concern the study’s total sample. However, as expected from the literature review that provides the basis for the sixth and the most important hypothesis, respondents were found to be heterogeneous in terms of knowledge and self-confidence levels. These differences were evaluated by means of multi-group analyses that indicated that the model does not apply to respondents with low knowledge and low self-confidence and to those who are over- and underconfident. This implies inferring that financial education programs may be of little use if they only address technical knowledge development and fail to consider behavioral aspects such as those related to self-confidence, as this paper points out, and others. This signals the importance of diagnosing people’s profiles to enable developing solutions capable of minimizing the presence of behavioral biases. This need to be studied further.

The results imply inferring that financial education programs may be of little use if they only address technical knowledge development and fail to consider behavioral aspects such as those related to self-confidence, as this paper points out, and others. Models must be reviewed in light of natural diferences of cognition and lead to customized financial education.

This signals the importance of diagnosing people’s profiles to enable developing solutions capable of minimizing the presence of behavioral biases. Therefore, not only training topics in personal finance but also a deeper education program since the kindergarden must be considered.

Its practical contribution is to suggest the development of financial education programs that also take account of the potential presence of behavioral biases, which may prevent the misallocation of (scarce) public- and private-sector funds stemming from a limited focus on developing the population’s actual financial knowledge.

This chapter investigates the nature of tax preparers’ confidence, as well as how the introduction of a tax decision support system (TDSS) affects tax preparers’ confidence levels. Psychological theories of confidence (e.g., Einhorn & Hogarth, 1978) are drawn upon to develop predictions regarding the role of process (ex ante) and outcome (ex post) confidence in tax return preparation. An experimental methodology is used with 114 inexperienced and experienced participants who prepare an individual income tax return manually or with tax preparation software (a TDSS). Less-experienced tax preparers have lower levels of ex-ante confidence and are more likely to be overconfident in the accuracy of their performance. Furthermore, when examining only the participants who made errors in their tax return preparation task, those that prepare the return with the TDSS are significantly more likely to be overconfident in their performance. These results support the predictions of Noga and Arnold (2002) and suggest that inexperienced users’ over-reliance on a TDSS (Masselli, Ricketts, Arnold, & Sutton, 2002) may be due to individuals’ overconfidence in the accuracy of their performance with the software.