A systematic literature review and bibliometric analysis of noise trading

Sanjay Gupta, Nidhi Walia, Simarjeet Singh and Swati Gupta

Qualitative Research in Financial Markets, 2022, vol. 15, issue 1, 190-215

Abstract: Purpose - This comprehensive study aims to take a punctilious approach intended to present qualitative and quantitative knowledge on the emerging concept of noise trading and identify the emerging themes associated with noise trading. Design/methodology/approach - This study combines bibliometric and content analysis to review 350 publications from top-ranked journals published from 1986 to 2020. Findings - The bibliometric and content analysis identified three major themes: the impact of noise traders on the functioning of the stock market, traits of noise traders and different proxies used to measure the impact of noise trading. Research limitations/implications - This study undertakes research papers related to the field of finance, published in peer-reviewed journals and that too in the English language. Practical implications - This study shall accommodate rational traders, portfolio consultants and other investors to gain deeper insights into the functioning of noise traders. This will further help them to formulate their trading/investment strategies accordingly. Originality/value - The successful combination of the bibliometric and content analysis revealed major gaps in the literature and provided future research directions.

Keywords: Bibliometric analysis; Content analysis; Noise traders; Noise trading; Proxies; G40; G150 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eme:qrfmpp:qrfm-09-2021-0154

DOI: 10.1108/QRFM-09-2021-0154

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