Shubhangi Gautam and Pardeep Kumar
Purpose – This study aims to investigate how behavioural biases affect cryptocurrency investment choices. The study also evaluates how risk tolerance mediates the relationship…
Abstract
Purpose – This study aims to investigate how behavioural biases affect cryptocurrency investment choices. The study also evaluates how risk tolerance mediates the relationship between behavioural biases and investment decision-making.
Need for the Study – The study is required to refine research methods and to ensure the reliability and validity of findings on behavioural biases in cryptocurrency investment decision-making.
Methodology – This pilot study involved responses from individuals in India’s western and northern regions who either invested in cryptocurrencies or had adequate knowledge of such investments. To assess the normality, validity, and reliability of the questionnaire data, a sample of 51 individuals was analysed using SPSS software.
Findings – The results of this study validate the reliability of the questionnaire in conducting pilot research by attaining high reliability with high coefficients of measures and reasonable normality.
Originality/value – The study confirmed the tool’s efficiency to analyse various specific antecedents influencing investing choices.
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Qingmei Tan, Muhammad Haroon Rasheed and Muhammad Shahid Rasheed
Despite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a…
Abstract
Purpose
Despite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a profound influence on the dissemination of information among participants in stock markets. Consequently, this present study delves into the ramifications of post-pandemic dynamics on stock market behavior. It also examines the relationship between investors' sentiments, underlying behavioral drivers and their collective impact on global stock markets.
Design/methodology/approach
Drawing upon data spanning from 2012 to 2023 and encompassing major world indices classified by Morgan Stanley Capital International’s (MSCI) market and regional taxonomy, this study employs a threshold regression model. This model effectively distinguishes the thresholds within these influential factors. To evaluate the statistical significance of variances across these thresholds, a Wald coefficient analysis was applied.
Findings
The empirical results highlighted the substantive role that investors' sentiments and behavioral determinants play in shaping the predictability of returns on a global scale. However, their influence on developed economies and the continents of America appears comparatively lower compared with the Asia–Pacific markets. Similarly, the regions characterized by a more pronounced influence of behavioral factors seem to reduce their reliance on these factors in the post-pandemic landscape and vice versa. Interestingly, the post COVID-19 technological advancements also appear to exert a lesser impact on developed nations.
Originality/value
This study pioneers the investigation of these contextual dissimilarities, thereby charting new avenues for subsequent research studies. These insights shed valuable light on the contextualized nexus between technology, societal dynamics, behavioral biases and their collective impact on stock markets. Furthermore, the study's revelations offer a unique vantage point for addressing market inefficiencies by pinpointing the pivotal factors driving such behavioral patterns.
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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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
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This research mainly intends to ascertain the stimulus of investor investment tendencies on the amount of capital investment in the share market.
Abstract
Purpose
This research mainly intends to ascertain the stimulus of investor investment tendencies on the amount of capital investment in the share market.
Design/methodology/approach
Utilizing a sample of 477 individual investors who actively trade on the Bangladesh capital market, this empirical study was conducted. The objective of this examination is to ascertain the investment trading behavior of retail investors in the Bangladesh capital market using multiple regression, hypothesis testing and correlation analysis.
Findings
The coefficients of market categories, preferred share price ranges and investment source reveal negative predictor correlations; all predictors are statistically significant, with the exception of investment source. Positive predictive correlations exist between investor category, financial literacy degree, investment duration, emotional tolerance level, risk consideration, investment monitoring activities, internal sentiment and correct investment selection. Except for risk consideration and investment monitoring activities, all components have statistically significant predictions. The quantity of capital invested in the stock market is heavily influenced by the investment duration, preferred share price ranges, investor type, emotional toleration level and decision-making accuracy level.
Research limitations/implications
This investigation was conducted exclusively with Bangladeshi individual stockholders. Therefore, the existing study can be extended to institutional investors and conceivably to other divisions. It is possible to conduct this similar study internationally. And the query can enlarge with more sample size and use a more sophisticated econometric model. Despite that the outcomes of this study help the regulatory authorities to arrange more informative seminars and consciousness programs.
Practical implications
The conclusions have practical implications since they empower investors to modify their portfolios based on elements including share price ranges, investment horizons and emotional stability. To improve chances of success and reach financial objectives, they stress the significance of bettering financial understanding, active monitoring and risk analysis. Results can also be enhanced by distributing ownership over a number of market sectors and price points. The results highlight the value of patience and giving potential returns enough time.
Originality/value
This study on the trading behavior of investors in Bangladesh is unique and based on field study, and the findings of this study will deliver information to the stakeholders of the capital market regarding the investors’ trading behavior belonging to different categories, financial literacy level, investment duration, emotional tolerance level and internal feeling.
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Abstract
It is commonly acknowledged that “what gets measured gets done”. There is some debate on how to include human capital on the balance sheet, but it is arguably more important that investors become aware of how human capital contributes to the success of a business. This is an exploratory study into the reporting of human capital. Annual reports from 20 companies in three different industries were examined for two years to document the human capital reporting that is done. The data were categorised into functional areas, and linkages were constructed with strategic frameworks as well as with operational results. The results showed little evidence that managements report on human capital in a manner suggesting it is an area of strategic importance. A review of the lessons learned from this exploration provides strong guidance for future research.
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The underlying principle of the Capital Asset Pricing Model (CAPM) is that there is a linear relationship between systematic risk, as measured by beta, and expected share returns…
Abstract
The underlying principle of the Capital Asset Pricing Model (CAPM) is that there is a linear relationship between systematic risk, as measured by beta, and expected share returns. The CAPM attempts to describe this relationship by using beta to explain the differences between the expected returns on various shares and share portfolios. The CAPM has been the subject of considerable theoretical investigation and empirical research. The aim of this article is to establish the current knowledge of the usefulness of the CAPM, i.e. whether it provides a reasonable description of reality and whether it is a useful tool for investment decision‐making. The main conclusion drawn from the study is that the CAPM is useful and that it does describe and explain the risk/return relationship. However, other risk factors (i.e. other than beta) may also be useful for explaining share returns. Investors should therefore be cautious when using the model to evaluate investment performance.
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This article aims to systematically review the literature published in recognized journals focused on cognitive heuristic-driven biases and their effect on investment management…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.
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M. Oberholzer and J.E.E. Ziemerink
Cost behaviour classification and cost behaviour structures of manufacturing companies. The purpose of this paper is to determine the cost structures of companies that formed part…
Abstract
Cost behaviour classification and cost behaviour structures of manufacturing companies. The purpose of this paper is to determine the cost structures of companies that formed part of an empirical investigation. Further aspects were investigated to determine why manufacturing companies classify cost behaviour into fixed and variable components and to determine how these companies classify specific cost items. It was found that there is a significant negative relationship between the fixed cost of a company and its degree of technological development. This means that labour intensive companies have more fixed cost as part of total costs and therefore a higher operating risk than technologically developed companies. It was also found that manufacturing companies classify cost items differently and this study provides some guidelines how to manage cost behaviour.
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Kirti Sood, Prachi Pathak, Jinesh Jain and Sanjay Gupta
Research in the domain of behavioral finance has proven that investors demonstrate irrational behavior while making investment decisions. In a similar domain, the primary…
Abstract
Purpose
Research in the domain of behavioral finance has proven that investors demonstrate irrational behavior while making investment decisions. In a similar domain, the primary objective of this research is to prioritize the behavioral biases that influence cryptocurrency investors' investment decisions in the Indian context.
Design/methodology/approach
A fuzzy analytic hierarchy process (F-AHP) was used to prioritize the behavioral factors impacting cryptocurrency investors' investment decisions. Overconfidence and optimism, anchoring, representativeness, information availability, herding, regret aversion, and loss aversion are among the primary biases evaluated in the present study.
Findings
The findings suggested that the two most important influential criteria were herding and regret aversion, with loss aversion and information availability being the least influential criteria. Opinions of family, friends, and colleagues about investment in cryptocurrency, the sale of cryptocurrencies that have increased in value, the avoidance of selling currencies that have decreased in value, the agony of holding losing cryptocurrencies for too long rather than selling winning cryptocurrencies too soon, and the purchase of cryptocurrencies that have fallen significantly from their all-time high are the most important sub-criteria.
Research limitations/implications
This survey only covered active cryptocurrency participants. Additionally, the study was limited to individual crypto investors in one country, India, with a sample size of 467 participants. Although the sample size is appropriate, a larger sample size might reflect the more realistic scenario of the Indian crypto market.
Practical implications
The study is relevant to individual and institutional cryptocurrency investors, crypto portfolio managers, policymakers, researchers, market regulators, and society at large.
Originality/value
To the best of the authors' knowledge, no prior research has attempted to explain how the overall importance of various criteria and sub-criteria related to behavioral factors that influence the decision-making process of crypto retail investors can be assessed and how the priority of focus can be established, particularly in the Indian context.