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Article
Publication date: 21 November 2022

Orlando Gomes

This paper aims to survey literature on behavioral economics and finance, with particular emphasis on a selection of models, methods and tools that this strand of thought uses to…

Abstract

Purpose

This paper aims to survey literature on behavioral economics and finance, with particular emphasis on a selection of models, methods and tools that this strand of thought uses to approach and explain observable phenomena.

Design/methodology/approach

After a brief discussion on the meaning and context of behavioral economics, the manuscript identifies five topics of special interest: time preference, heuristics, emotions, finance and macro behavior. For each of these topics, relevant models, methods and tools are identified and scrutinized.

Findings

Behavioral economics and finance establish an effective bridge between orthodox economic thinking and new and revolutionary methods of analysis. Exploring the intricacies of human behavior can frequently be done by adapting the trivial and conventional intertemporal utility maximization models that economists insistently resort to, but to fully grasp such intricacies, a step forward is required. Agent-based models and other tools from complexity sciences constitute the analytical arsenal that is needed to improve our understanding of how behavioral issues attach to heterogeneity, local interaction, path-dependence, out-of-equilibrium dynamics and emergence.

Originality/value

Although surveys on behavioral economics and finance abound in the specialized literature, this study has the peculiarity of emphasizing five relevant topics that are particularly illustrative of the pivotal role of behavioral science in promoting the transition from the strict neoclassical perspective to a less mechanic and more organic view of economics and finance.

Details

Studies in Economics and Finance, vol. 40 no. 3
Type: Research Article
ISSN: 1086-7376

Keywords

Article
Publication date: 20 October 2020

Yaron Lahav and Shireen Meer

In this paper, we study the effect of induced positive and negative moods on traders' willingness to trade (pay and accept) in experimental asset markets.

Abstract

Purpose

In this paper, we study the effect of induced positive and negative moods on traders' willingness to trade (pay and accept) in experimental asset markets.

Design/methodology/approach

We conduct experimental asset markets where subjects undergo a mood induction procedure prior to trade. After the subjects are induced with either negative or positive affect, they can trade an experimental asset with a known stream of dividends for a known number of periods.

Findings

We first show that both positive and negative affects are associated with larger positive deviations from fundamental values. We also show that when subjects are induced with positive mood, they bid higher prices but for fewer units of the stock. On the supply side, positive affect is associated with higher prices and quantities, and consequently in higher willingness to offer. Finally, we use our experimental data to test existing theories on mood effect. We find that negative affect is related to momentum trading, while positive affect is associated with information processing.

Originality/value

To our knowledge, this is the first work that studies the effect of mood on traders' behavior, rather than market outcomes.

Details

Review of Behavioral Finance, vol. 14 no. 1
Type: Research Article
ISSN: 1940-5979

Keywords

Article
Publication date: 4 April 2023

Anshita Bihari, Manoranjan Dash, Kamalakanta Muduli, Anil Kumar, Eyob Mulat-Weldemeskel and Sunil Luthra

Current research in the field of behavioural finance has attempted to discover behavioural biases and their characteristics in individual investors’ irrational decision-making…

Abstract

Purpose

Current research in the field of behavioural finance has attempted to discover behavioural biases and their characteristics in individual investors’ irrational decision-making. This study aims to find out how biases in information based on knowledge affect decisions about investments.

Design/methodology/approach

In step one, through existing research and consultation with specialists, 13 relevant items covering major aspects of bias were determined. In the second step, multiple linear regression and artificial neural network were used to analyse the data of 337 retail investors.

Findings

The investment choice was heavily impacted by regret aversion, followed by loss aversion, overconfidence and the Barnum effect. It was observed that the Barnum effect has a statistically significant negative link with investing choices. The research also found that investors’ fear of making mistakes and their tendency to be too sure of themselves were the most significant factors in their decisions about where to put their money.

Practical implications

This research contributes to the expansion of the knowledge base in behavioural finance theory by highlighting the significance of cognitive psychological traits in how leading investors end up making irrational decisions. Portfolio managers, financial institutions and investors in developing markets may all significantly benefit from the information offered.

Originality/value

This research is a one-of-a-kind study, as it analyses the emotional biases along with the cognitive biases of investor decision-making. Investor decisions generally consider the shadowy side of knowledge management.

Details

VINE Journal of Information and Knowledge Management Systems, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2059-5891

Keywords

Article
Publication date: 9 April 2020

David S. Dobson and Karolien Poels

Mortgage lenders often combine a variety of framing strategies when developing mortgage advertisements. To date, these frames have mostly been studied separately. This paper…

Abstract

Purpose

Mortgage lenders often combine a variety of framing strategies when developing mortgage advertisements. To date, these frames have mostly been studied separately. This paper, however, studies the combined framing effects of message valence, specificity, and temporality on consumers' mortgage decision-making.

Design/methodology/approach

A mixed methods design was used. First, 13 unique print ads collected from a Canadian newspaper were analyzed for content. Second, a 2 × 2 × 2 scenario-based experiment with 400 undergraduate participants examined the framing effects of valence, specificity and temporality on attitudes toward the mortgage advertising message, the product advertised, and the brand, as well as on consumers' behavioral intentions toward the advertised mortgage product.

Findings

The content analysis suggests that combined framing does exist in print ads. A positive message with a fixed term and a specific interest rate were the most commonly used frames. The experiment revealed that, for behavioral intentions, the main effect of the message temporality was significant. The effects of advertising a long-term mortgage on behavioral intentions were more favorable than those of advertising a short-term mortgage.

Practical implications

This research provides a combined framing model for designing advertising strategies for the financial services industry to market complex financial products, such as mortgage loans to consumers. This is relevant to lenders when designing a persuasive package or ads for potential customers.

Originality/value

This study is the first of its kind to investigate the effects of combinations of message frames on consumers' mortgage decision-making, while also advancing the understanding of message framing theory for the financial services industry.

Details

International Journal of Bank Marketing, vol. 38 no. 4
Type: Research Article
ISSN: 0265-2323

Keywords

Article
Publication date: 25 December 2023

Annu and Ravindra Tripathi

This paper aims to study and discover the unsearched area in behavioral finance in the new era of technology enhancement. The study has been done with two significant…

Abstract

Purpose

This paper aims to study and discover the unsearched area in behavioral finance in the new era of technology enhancement. The study has been done with two significant methodologies of reviews. This study also covers the whole structure of the investment decision scenario.

Design/methodology/approach

A systematic and bibliometric analysis has been done to make this study conceptual. Data collection sources are highly indexed journals, Scopus, Web of Science and Google Scholar. The “R” package has been used to do bibliometric analysis. Start with data cleaning and import the data in biblioshiny to get and interpret the result. A total of 642 data has been finalized from 1973 to 2022.

Findings

Various noticeable results have been found to accomplish the objectives and fill the gap in the study. There is a need to research both technological and psychological factors to determine the relation of these two variables with the investment decision-making of investors.

Originality/value

This study has done a systematic literature review and a bibliometric analysis that shows the importance of technology enhancement for further research, which has been searchable throughout this study.

Details

Qualitative Research in Financial Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1755-4179

Keywords

Article
Publication date: 21 December 2020

Maqsood Ahmad and Syed Zulfiqar Ali Shah

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…

3773

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Practical implications

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.

Originality/value

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.

Details

Journal of Economic and Administrative Sciences, vol. 38 no. 1
Type: Research Article
ISSN: 1026-4116

Keywords

Article
Publication date: 27 June 2019

Andreas Oehler, Florian Wedlich, Stefan Wendt and Matthias Horn

The purpose of this study is to analyze whether differences in market-wide levels of investor personality influence experimental asset market outcomes in terms of limit orders…

Abstract

Purpose

The purpose of this study is to analyze whether differences in market-wide levels of investor personality influence experimental asset market outcomes in terms of limit orders, price levels and price bubbles.

Design/methodology/approach

Investor personality is determined by a questionnaire. These data are combined with data from 17 experimental asset markets. Two approaches are used to estimate market-wide levels of investor personality. First, the market-wide average of each personality trait is determined; second, the percentage of individuals with comparable personality in a market is computed. Overall, 364 undergraduate business students participated in the questionnaire and the experimental asset markets.

Findings

Limits and transaction prices are higher in markets with higher mean values in participants’ extraversion and openness to experience and lower mean values in participants’ agreeableness and neuroticism. In markets with lower mean values of subjects’ openness to experiences more overpriced transactions are observed. In markets with a higher proportion of extraverted subjects and a lower proportion of neurotic subjects higher limits and transaction prices are observed. Bubble phases last longer in markets with a higher proportion of extraverted and a lower proportion of neurotic subjects.

Originality/value

Overall, the findings suggest that market-wide personality levels influence market outcomes. As a consequence, market-wide levels of personality help to explain prices in auctions with limited number of participants. Additionally, studies that analyze the influence of subjects’ characteristics, including risk aversion, emotional states or overconfidence, on market outcomes should also consider personality traits as potential underlying factor.

Details

Studies in Economics and Finance, vol. 38 no. 3
Type: Research Article
ISSN: 1086-7376

Keywords

Article
Publication date: 28 August 2023

Barkha Dhingra, Mahender Yadav, Mohit Saini and Ruhee Mittal

This study aims to conduct a bibliometric analysis to provide a comprehensive picture and identify future research directions to enrich the existing literature on behavioral

Abstract

Purpose

This study aims to conduct a bibliometric analysis to provide a comprehensive picture and identify future research directions to enrich the existing literature on behavioral biases.

Design/methodology/approach

The data set comprises 518 articles from the Web of Science database. Performance analysis is used to highlight the significant contributors (authors, institutions, countries and journals) and contributions (highly influential articles) in the field of behavioral biases. In addition, network analysis is used to delve into the conceptual and social structure of the research domain.

Findings

The current review has identified four major themes: “Influence of behavioral biases on investment decisions,” “Determinants of home bias,” “Impact of biases on stock market variables” and “Investors’ decision-making under uncertainty.” These themes reveal that a majority of studies have focused on equity markets, and research on other asset classes remains underexplored.

Research limitations/implications

This study extracted data from a single database (Web of Science) to ensure standardization of results. Consequently, future research could broaden the scope of the bibliometric review by incorporating multiple databases.

Originality/value

The novelty of this research is to provide valuable guidance by evaluating the existing literature and advancing the knowledge base on the conceptual and social structure of behavioral biases.

Details

Qualitative Research in Financial Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1755-4179

Keywords

Article
Publication date: 12 July 2023

Marwan Abdeldayem and Saeed Aldulaimi

This study aims to investigate the impact of financial and behavioural factors on investment decisions in the cryptocurrency market within the Gulf Cooperation Council (GCC).

Abstract

Purpose

This study aims to investigate the impact of financial and behavioural factors on investment decisions in the cryptocurrency market within the Gulf Cooperation Council (GCC).

Design/methodology/approach

The study uses the cross-sectional absolute deviation methodology developed by Chang et al. (2000) to determine the existence of herding behaviour during extreme conditions in the cryptocurrency market of four GCC countries: Bahrain, Saudi Arabia, Kuwait and UAE. In addition, a questionnaire survey was distributed to 322 investors from the GCC cryptocurrency markets to gather data on their investment decisions.

Findings

The study finds that the herding theory, prospect theory and heuristics theory account for 16.5% of the variance in investors' choices in the GCC cryptocurrency market. The regression analysis results show no multicollinearity problems, and a high F-statistic indicates the general model's acceptability in the results.

Practical implications

The study's findings suggest that behavioural and financial factors play a significant role in investors' choices in the GCC cryptocurrency market. The study's results can be used by investors to better understand the impact of these factors on their investment decisions and to develop more effective investment strategies. In addition, the study's findings can be used by policymakers to develop regulations that consider the impact of behavioural and financial factors on the GCC cryptocurrency market.

Originality/value

This study adds to the body of literature in two different ways. Initially, motivated by earlier research examining the impact of behaviour finance factors on investment decisions, the authors look at how the behaviour finance factors affect investment decisions of the GCC cryptocurrency market. To extend most of these studies, this study uses a regime-switching model that accounts for two different market states. Second, by considering the recent crisis and more recent periods involving more cryptocurrencies, the authors have contributed to several studies examining the impact of behavioural financial factors on investment decisions in cryptocurrency markets. In fact, very few studies have examined the impact of behavioural finance on cryptocurrency markets. Therefore, to the best of the authors’ knowledge, this study is the first of its kind to investigate how behavioural finance factors influence investment decisions in the GCC cryptocurrency market. This allows to better illuminate the factors driving herd behaviour in the GCC cryptocurrency market.

Details

International Journal of Organizational Analysis, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1934-8835

Keywords

Article
Publication date: 13 September 2022

Laura Gonzalez

Peer-to-peer (P2P) lending facilitates direct online lending and aims to provide financial inclusion and investment returns. Lender goals range from for-profit to pro-social and…

Abstract

Purpose

Peer-to-peer (P2P) lending facilitates direct online lending and aims to provide financial inclusion and investment returns. Lender goals range from for-profit to pro-social and objective information is limited, which highlights the need to examine heuristics.

Design/methodology/approach

This study examines 1,347 lending decisions by finance students on a mock P2P site. Testimonials were used to randomly condition the financially literate lenders towards for-profit or pro-social decision-making. Each investor evaluated three loans. The three loan applications were identical except for a female or male headshot (vs an icon) and random reports of 50% funding for the female or male loan in 3 days (vs 11 days for opposite gender and 7 for icon). Previous research surveys students on a mock platform (Gonzalez, 2020) and reports similar heuristics and lifelike decisions in student and general population samples (Gonzalez and Komarova, 2014).

Findings

Lenders randomly conditioned towards pro-social lending state lower trust in borrowers. However, pro-social investors state lower risk in P2P lending and higher financial literacy. Second, pro-social investors are more confident when lending to borrowers highly trusted by other lenders, especially if the popular loan applicant is female. Third, pro-social conditioning increases lending to male applicants when the popular loan applicant is female. Fourth, pro-social investors who have experienced financial trauma have greater confidence in bad loan recovery.

Originality/value

This is the first study of heuristics in pro-social vs for-profit P2P lending. In addition, it shows that testimonials can effectively condition lending goals and affect trust and risk perceptions.

Details

Managerial Finance, vol. 49 no. 2
Type: Research Article
ISSN: 0307-4358

Keywords

21 – 30 of over 9000