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Information about bank intangibles, analyst information intermediation, and the role of knowledge and social forces in the ‘market for information’

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  • Lei Chen
  • Jo Danbolt
  • John Holland

Abstract

Although developments in the sell-side analyst literature have revealed the role of intellectual capital (IC) in analysts’ work, the whole information intermediation progress of IC remains a “black box”. This paper develops an analyst information intermediation model, illustrating how ‘soft’ information changes through analyst acquisition, processing and disclosure of information. Bourdieu’s ideas of habitus, field and capital are used to develop our explanation of the analyst information intermediation model. We argue that the combination of empirical evidence and theoretical explanation provides a new and more comprehensive way to improve understanding of the role of analysts within knowledge and social contexts.

Suggested Citation

  • Lei Chen & Jo Danbolt & John Holland, 2018. "Information about bank intangibles, analyst information intermediation, and the role of knowledge and social forces in the ‘market for information’," Accounting Forum, Taylor & Francis Journals, vol. 42(3), pages 261-276, September.
    • Handle: RePEc:taf:accfor:v:42:y:2018:i:3:p:261-276
    DOI: 10.1016/j.accfor.2018.08.002
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    Cited by:

    1. Lee, Kenneth & Manochin, Melina, 2021. "Sell-side equity analysts and equity sales: A study of interaction," The British Accounting Review, Elsevier, vol. 53(5).
    2. Lee, Kenneth & Aleksanyan, Mark & Harris, Elaine & Manochin, Melina, 2023. "Throwing in the towel: what happens when analysts' recommendations go wrong?," LSE Research Online Documents on Economics 121412, London School of Economics and Political Science, LSE Library.
    3. Hou, Jianlei & Zhao, Shangmei & Yang, Haijun, 2020. "Individual analysts, stock return synchronicity and information efficiency," International Review of Financial Analysis, Elsevier, vol. 71(C).
    4. Jing Gu & Junyao Wang & Yang Yang & Zeshui Xu, 2019. "Credit Line Models for Supply Chain Enterprises with Channel Background and Soft Information," Sustainability, MDPI, vol. 11(10), pages 1-20, May.

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