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A Catering Theory of Analyst Bias

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  • Lai, Richard

Abstract

We posit a theory that runs counter to how conventional wisdom thinks about analyst bias, that it is the result of distorted incentives by "the system" - especially upstream factors like the analysts' employers. We suggest that analysts are also heavily influenced by what investors believe, the purported victims of analyst bias. We adapt Mullainathan-Shleifer's theory of media bias to build a theory of how analysts cater to what investors believe. The theory also predicts that competition among analysts does not reduce their bias. We provide empirical support for this theory, using an enormous dataset built from over 6.5 million analyst estimates and 42.8 million observations on investor holdings, which we argue is a proxy for what they believe. We use a simultaneous-equations model for estimation, with instruments to rule out alternative interpretations of the direction of causality. For additional robustness, we investigate the time series of analyst bias and heterogeneity in investor beliefs from 1987 through 2003. Dickey-Fuller tests show that both have unit roots, but we establish that cointegration hold. Further, we employ a vector-autoregressive model to show Granger - causality between the two.

Suggested Citation

  • Lai, Richard, 2004. "A Catering Theory of Analyst Bias," MPRA Paper 4761, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:4761
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    References listed on IDEAS

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    1. Karl B. Diether & Christopher J. Malloy & Anna Scherbina, 2002. "Differences of Opinion and the Cross Section of Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2113-2141, October.
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    Cited by:

    1. Elisabete Duarte Neves, 2014. "Ownership Structure and Investor¡¯s Sentiments for Dividends," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(2), pages 35-58, April.
    2. Chen, An-Sing & Chang, Chong-Chuo & Cheng, Lee-Young & Tu, Hsing-Yu, 2016. "Do analysts cater to investor beliefs via target prices," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 232-252.
    3. Mei-Chen Lin, 2020. "When analysts encounter lottery-like stocks: lottery-like stocks and analyst stock recommendations," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 327-353, July.
    4. Ji, Xu & Dong, Yan & Vagnani, Gianluca & Yang, Xiaoqi, 2024. "Stock market reactions and optimism bias in analysts’ earnings forecasts: An analysis of China's stock markets," Finance Research Letters, Elsevier, vol. 59(C).

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    More about this item

    Keywords

    Analyst bias; behavioral finance; media bias;
    All these keywords.

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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