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A systematic literature review and bibliometric analysis of noise trading

Author

Listed:
  • Sanjay Gupta
  • Nidhi Walia
  • Simarjeet Singh
  • Swati Gupta

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.

Suggested Citation

  • Sanjay Gupta & Nidhi Walia & Simarjeet Singh & Swati Gupta, 2022. "A systematic literature review and bibliometric analysis of noise trading," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 15(1), pages 190-215, September.
    • Handle: RePEc:eme:qrfmpp:qrfm-09-2021-0154
    DOI: 10.1108/QRFM-09-2021-0154
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    Citations

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    Cited by:

    1. Sood, Kirti & Singh, Simarjeet & Behl, Abhishek & Sindhwani, Rahul & Kaur, Sandeepa & Pereira, Vijay, 2023. "Identification and prioritization of the risks in the mass adoption of artificial intelligence-driven stable coins: The quest for optimal resource utilization," Resources Policy, Elsevier, vol. 81(C).

    More about this item

    Keywords

    Bibliometric analysis; Content analysis; Noise traders; Noise trading; Proxies; G40; G150;
    All these keywords.

    JEL classification:

    • G40 - Financial Economics - - Behavioral Finance - - - General

    Statistics

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