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Qualitative Research in Financial Markets

ISSN : 1755-4179

Article publication date: 27 June 2019

Issue publication date: 13 April 2022

This paper developed a theoretical and research framework by identifying the behavioral biases in investment decision and by presenting a review of the available literature in the field of behavior finance-related biases. This paper aims to present a compressive review of the literature available in the public domain in past five decades on behavior finance and biases and its role in investment decision-making process. It also covers insights on the subject for developing a deeper understating of the behavior of investor and related biases.

Design/methodology/approach

The work follows the comprehensive literature review approach to review the available literatures. The review carried out on different parameters such as year of publication, journal of publication, country, type of research, data type, statistical technique used and biases identified. This is a funnel approach to decrease the number of behavior biases up to six for further research.

Most of the existing works have summarized behavior finance as an emerging area in finance. This indicates the limited valuable research in developing economy in this area. This literature review helps in identifying major research gap in this domain. It helps in identifying the behavior biases which work dominantly in investment decision-making. It would be interesting to explore the area of behavior biases and their impact on investment decision of individual investors in India.

Originality/value

This paper worked on literature prevailing on the subject and available on various online research data source and search engines. It covers a long time frame of almost five decades (1970-2015). This paper is an attempt to look at the impact of behavior finance and biases and its role in investment decision-making process of the investor behavior. This study builds up a strong theoretical framework for researchers and academicians by detailed demonstration of available literature on behavior biases.

• Investment management
• Behavioural finance
• Behavioural bias

Mittal, S.K. (2022), "Behavior biases and investment decision: theoretical and research framework", Qualitative Research in Financial Markets , Vol. 14 No. 2, pp. 213-228. https://doi.org/10.1108/QRFM-09-2017-0085

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STUDY ON BEHAVIORAL FINANCE, BEHAVIORAL BIASES, AND INVESTMENT DECISIONS

Behavioral finance is an open-minded finance which includes the study of psychology, sociology, and finance. Behavioral finance micro examines behavior or biases of investors and behavioral finance macro describe anomalies in the efficient market. Nowadays, behavioral finance is not a new concept, the existence, and impact of behavioral biases in investor's behavior and human judgment are huge. In this paper, we will review various studies in this area so as to have a clear understanding of the behavioral finance and its significance in the financial decision making of investors. JEL CLASSIFICATION: G11, G14

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Behavioral Finance

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• First Online: 22 November 2023
• Cite this reference work entry

• Pedro Manuel Nogueira Reis 7 &
• António Pedro Soares Pinto 7  

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Behavioural finance ; Investor sentiment

Definition/Description

The holy grail of academic finance is to identify those factors that are best able to explain expected returns. The capital asset pricing model (CAPM) proposed by Sharpe ( 1964 ) and Lintner ( 1965 ) sought to calculate the risk premia inherent to financial assets. Researchers correspondingly study a variety of risk factors to best explain and predict the expected returns, including works by Fama and French ( 2016 , 2018 ), and Barillas and Shanken ( 2018 ) among many others. In addition to company fundamentals and the macroeconomic environment, a new branch of finance has emerged for forecasting expected returns based on investor sentiment as one of the main drivers inducing return co-movements. Optimism or pessimism may drive investor behaviors that condition their interactions with the markets and therefore impacting on stock returns. This investor sentiment can derive from their belief or otherwise in the future...

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School of Management, Polytechnic Institute of Viseu, Viseu, Portugal

Pedro Manuel Nogueira Reis & António Pedro Soares Pinto

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Reis, P.M.N., Pinto, A.P.S. (2023). Behavioral Finance. In: Idowu, S.O., Schmidpeter, R., Capaldi, N., Zu, L., Del Baldo, M., Abreu, R. (eds) Encyclopedia of Sustainable Management. Springer, Cham. https://doi.org/10.1007/978-3-031-25984-5_985

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Behavioral Finance Research

The International Center for Finance is a leading center for research in behavioral science – specifically, research in the fields of behavioral decision-making, behavioral economics, and behavioral finance. Behavioral decision-making studies the basic psychology of decision-making, while behavioral economics and behavioral finance study the role of irrational thinking in economic and financial decision-making, respectively. Yale’s research efforts in these fields have been helped immeasurably by the generous support of the Lynne & Andrew Redleaf Foundation (formerly Whitebox Advisors).

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The Yale Summer School in Behavioral Finance, which has been led since its inception in 2009 by Nicholas Barberis with support from the ICF’s outstanding staff members, is a one-week intensive course in behavioral finance for PhD students.

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Lynne & Andrew Redleaf Foundation Student Fellows (formerly Whitebox Advisors student fellows) are selected by a committee of Yale faculty and receive funding to help with their research.

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Behavioral research projects funded with the generous support of the Lynne & Andrew Redleaf Foundation (formerly Whitebox Advisors) that have been published either in journals or as working papers.

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Since 2005, the annual Lynne & Andrew Redleaf Foundation Graduate Student Conference (formerly the Whitebox Advisors Graduate Student Conference) , held in conjunction with the Behavioral Science Conference, draws top doctoral students from around the world to present their research in the fields of behavioral economics, behavioral finance and behavioral marketing. The goal of the conference is to foster an environment to promote interaction amongst doctoral student researchers, and to provide feedback for students presenting their work in these fields.

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Essays on behavioral finance and corporate finance

• Research Group: Finance
• Center Ph. D. Students

Research output : Thesis › Doctoral Thesis

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• 10.26116/dd2e-g320
• TiU_220207_CeNTER_proefschrift Lingbo Shen_digitaal Final published version, 1.32 MB

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• Behavioral Finance Business & Economics 100%
• Corporate Finance Business & Economics 95%
• Analysts Business & Economics 45%
• Conference Calls Business & Economics 40%
• Inventor Business & Economics 31%
• Ethnic Groups Business & Economics 23%
• Innovation Business & Economics 20%
• Interaction Business & Economics 14%

T1 - Essays on behavioral finance and corporate finance

AU - Shen, Lingbo

N2 - This Ph.D. dissertation consists of three independent chapters in behavioral finance and corporate finance. The first chapter examines whether and how ethnicity similarity between analysts and executives affect their interactions in conference calls. The second chapter investigates firms' demand for inventor executives, executives with innovation experience, around firms' IPOs. The last chapter studies teams and individual analysts performance differences during the COVID-19 pandemic crisis time.

AB - This Ph.D. dissertation consists of three independent chapters in behavioral finance and corporate finance. The first chapter examines whether and how ethnicity similarity between analysts and executives affect their interactions in conference calls. The second chapter investigates firms' demand for inventor executives, executives with innovation experience, around firms' IPOs. The last chapter studies teams and individual analysts performance differences during the COVID-19 pandemic crisis time.

U2 - 10.26116/dd2e-g320

DO - 10.26116/dd2e-g320

M3 - Doctoral Thesis

SN - 978 90 5668 683 3

T3 - CentER Dissertation Series

PB - CentER, Center for Economic Research

CY - Tilburg

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Home » Blog » Dissertation » Topics » Finance » Behavioral Finance » 80 Behavioral Finance Research Topics

80 Behavioral Finance Research Topics

FacebookXEmailWhatsAppRedditPinterestLinkedInWelcome to the realm of academic exploration, where the worlds of research and topics intertwine to shape the foundation of your scholarly journey in Behavioral Finance. As students venture into the captivating domain of finance, the quest for compelling research topics to anchor the course of their undergraduate, master’s, or doctoral theses becomes both a […]

Welcome to the realm of academic exploration, where the worlds of research and topics intertwine to shape the foundation of your scholarly journey in Behavioral Finance. As students venture into the captivating domain of finance, the quest for compelling research topics to anchor the course of their undergraduate, master’s, or doctoral theses becomes both a challenge and an opportunity.

This pivotal decision not only lays the groundwork for an intellectually stimulating pursuit but also holds the power to contribute significantly to the ever-evolving field of finance. In this guide, we delve into the fascinating expanse of Behavioral Finance, unveiling a plethora of research avenues that await your investigation and offer a chance to unravel the mysteries of human behaviour in financial decision-making.

A List Of Potential Research Topics In Behavioral Finance:

• Decision-making biases in employee retirement plan selection.
• Prospect theory and pension fund investment strategies in the UK.
• Regret aversion and stock portfolio rebalancing.
• Behavioural factors in initial coin offerings (ICOs).
• Prospect theory and investment in emerging markets.
• Behavioural biases in peer-to-peer lending.
• Psychological factors influencing post-COVID real estate investment trends.
• Nudging techniques in retirement planning.
• Decision fatigue and financial choices.
• Behavioural biases in cryptocurrency adoption.
• The role of trust in online financial transactions.
• Prospect theory and corporate merger decisions.
• Behavioural factors in cryptocurrency adoption intention.
• Investor behaviour during financial crises: Lessons from the pandemic.
• Overconfidence and trading patterns in the UK foreign exchange market.
• Overoptimism and IPO underpricing.
• Prospect theory in the context of environmental investments.
• Framing effects in healthcare financing choices.
• Mental accounting and household financial planning.
• Decision-making under uncertainty: Insights from behavioural economics.
• Decision biases in real estate investment trusts (REITs) selection.
• Prospect theory and entrepreneurial investment decisions.
• Impact of pandemic-related uncertainty on cryptocurrency investment behaviour.
• Pandemic-induced behavioural shifts in retail investors’ decision-making.
• Neuroeconomic insights into impulse buying behaviour.
• Social influences on investment choices.
• Exploring herding behaviour in the UK stock market: A behavioural approach.
• Behavioural aspects of sustainable investing: A review of current research.
• Regret aversion and investment decisions during market crashes.
• Socially responsible investing and behavioural factors.
• Impact of social media on investment decision-making.
• Navigating the behavioural biases in remote financial advising: Lessons from the pandemic.
• Mental accounting and tax planning strategies.
• Behavioural biases and the performance of robo-advisors.
• Behavioural factors in ethical investment choices: The UK perspective.
• Anchoring and adjustment in real estate investment valuations.
• Emotional influences on commodities trading.
• Decision-making patterns in sustainable investing post-COVID.
• Decision-making biases in UK housing market: A behavioural analysis.
• A comprehensive review of behavioural biases in investment decision-making.
• Investor sentiment and stock market volatility: A cross-country analysis.
• Investor sentiment measurement and its role in behavioural finance : A critical review.
• Emotional influences on day trading performance.
• Anchoring effects in pricing strategies.
• Psychological factors in online shopping cart abandonment.
• Herding behaviour in behavioural finance: A synthesis of empirical studies.
• Investor sentiment and stock market volatility in the UK: Post-Brexit insights.
• Behavioural factors in sustainable investing.
• Herding behaviour in the UK cryptocurrency market: Prevalence and implications.
• Overconfidence and credit card debt accumulation.
• Emotional biases in online auction bidding.
• Market sentiment dynamics in the post-COVID recovery phase.
• Prospect theory and corporate risk management strategies.
• Cultural influences on investor behaviour in the UK: A comparative study.
• Framing effects in retirement savings choices.
• Herding behaviour and mutual fund performance.
• Anchoring and home price negotiations.
• Behavioural biases in healthcare investment choices post-COVID.
• Framing effects in charitable giving.
• Prospect theory and portfolio diversification strategies.
• Emotional biases in financial decision-making during crisis: A post-COVID perspective.
• Behavioural biases in crowdfunding campaigns.
• Regret aversion and investment choices among UK high-net-worth individuals.
• Herding behaviour in cryptocurrency markets: A behavioural perspective.
• Prospect theory and risk perception changes in the post-COVID investment landscape.
• Regret theory in behavioural finance: Recent developments and empirical findings.
• Decision-making biases in retirement planning: A literature review.
• Herding behaviour in stock markets post-COVID: A cross-country analysis.
• Impact of behavioural biases on UK millennials’ retirement planning.
• Behavioural biases in venture capital investment.
• Behavioural biases in algorithmic trading.
• Emotional biases in financial markets: An in-depth review of research.
• Prospect theory and investment timing.
• The role of overconfidence in investment decision-making.
• Emotional biases and cryptocurrency investment.
• Overconfidence and investment in renewable energy projects.
• Anchoring effects in consumer price perceptions.
• Emotional influences on forex trading.
• Cultural differences in investment risk perception.
• Behavioural finance theories and models: A critical literature review.

In conclusion, the diverse array of Behavioral Finance research topics across various degree levels underscores the enduring significance of this field. A more comprehensive understanding emerges as academia delves into the intricacies of investor behaviour, market anomalies, decision-making biases, and the interplay of emotions with financial choices. These research avenues enrich our theoretical framework and provide invaluable insights for practitioners seeking to navigate the complexities of real-world economic scenarios. Through continued exploration and analysis, Behavioral Finance will remain a pivotal lens through which we view and comprehend the dynamics of financial markets and human psychology.

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