{"title":"All are interesting to invest, I fear of missing out (FOMO): a comparative study among self-employed and salaried investors","authors":"Jitender Kumar, Manju Rani, Garima Rani, Vinki Rani","doi":"10.1108/jfrc-01-2024-0010","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This paper aims to examine how fear of missing out (FOMO) and investment intention mediate the relationship between behavioral biases and investment decisions of retail investors in the Indian stock market.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The present research comprises two cross-sectional quantitative studies, where Study A involves data from 405 self-employed and Study B involves 393 salaried investors. Data was attained through questionnaires – the partial least squares structural equation modeling was used for data analysis.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The outcomes show that herding, overconfidence and loss aversion bias significantly impact investment intention and FOMO on both studies. Furthermore, the outcomes also indicate that herding and loss aversion bias significantly influence investment decisions in studies (A and B); however, overconfidence bias insignificantly affects the investment decisions in Study A. Besides, the results also reveal a substantial relationship between FOMO, investment intention and investment decision.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>The findings of this paper assist practitioners (financial analysts and retail investors) in considering the various ways of analyzing investment decision outcomes by considering the joint effect of several biases.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This paper is an initial attempt to propose a new theoretical framework and empirically examine the impact of behavioral biases on investment decisions by considering the FOMO and investment intention among self-employed and salaried investors. This study also contributes to the behavioral finance literature; other researchers may find it valuable to attain their goals.</p><!--/ Abstract__block -->","PeriodicalId":44814,"journal":{"name":"Journal of Financial Regulation and Compliance","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Financial Regulation and Compliance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/jfrc-01-2024-0010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
This paper aims to examine how fear of missing out (FOMO) and investment intention mediate the relationship between behavioral biases and investment decisions of retail investors in the Indian stock market.
Design/methodology/approach
The present research comprises two cross-sectional quantitative studies, where Study A involves data from 405 self-employed and Study B involves 393 salaried investors. Data was attained through questionnaires – the partial least squares structural equation modeling was used for data analysis.
Findings
The outcomes show that herding, overconfidence and loss aversion bias significantly impact investment intention and FOMO on both studies. Furthermore, the outcomes also indicate that herding and loss aversion bias significantly influence investment decisions in studies (A and B); however, overconfidence bias insignificantly affects the investment decisions in Study A. Besides, the results also reveal a substantial relationship between FOMO, investment intention and investment decision.
Practical implications
The findings of this paper assist practitioners (financial analysts and retail investors) in considering the various ways of analyzing investment decision outcomes by considering the joint effect of several biases.
Originality/value
This paper is an initial attempt to propose a new theoretical framework and empirically examine the impact of behavioral biases on investment decisions by considering the FOMO and investment intention among self-employed and salaried investors. This study also contributes to the behavioral finance literature; other researchers may find it valuable to attain their goals.
期刊介绍:
Since its inception in 1992, the Journal of Financial Regulation and Compliance has provided an authoritative and scholarly platform for international research in financial regulation and compliance. The journal is at the intersection between academic research and the practice of financial regulation, with distinguished past authors including senior regulators, central bankers and even a Prime Minister. Financial crises, predatory practices, internationalization and integration, the increased use of technology and financial innovation are just some of the changes and issues that contemporary financial regulators are grappling with. These challenges and changes hold profound implications for regulation and compliance, ranging from macro-prudential to consumer protection policies. The journal seeks to illuminate these issues, is pluralistic in approach and invites scholarly papers using any appropriate methodology. Accordingly, the journal welcomes submissions from finance, law, economics and interdisciplinary perspectives. A broad spectrum of research styles, sources of information and topics (e.g. banking laws and regulations, stock market and cross border regulation, risk assessment and management, training and competence, competition law, case law, compliance and regulatory updates and guidelines) are appropriate. All submissions are double-blind refereed and judged on academic rigour, originality, quality of exposition and relevance to policy and practice. Once accepted, individual articles are typeset, proofed and published online as the Version of Record within an average of 32 days, so that articles can be downloaded and cited earlier.