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Financial Reporting Complexity, Investor Sentiment, and Stock Prices

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  • Chung, Min-Hsi
  • Chang, Ya-Kai

Abstract

This study investigates whether financial reporting complexity affects the sensitivity of stock prices to general investor sentiment of difficult-to-value firms. Our findings indicate that investor sentiment has a larger effect on difficult-to-value firms with high financial reporting complexity than on those with low financial reporting complexity. These findings suggest that policymakers should consider that increased financial reporting complexity may aggravate investor sentiment's effect on the stock prices of difficult-to-value firms when valuations become more difficult. By doing so, we contribute to the existing literature by presenting additional evidence on the relationship between financial reporting complexity and sentiment-driven mispricing.

Suggested Citation

  • Chung, Min-Hsi & Chang, Ya-Kai, 2024. "Financial Reporting Complexity, Investor Sentiment, and Stock Prices," Finance Research Letters, Elsevier, vol. 62(PA).
    • Handle: RePEc:eee:finlet:v:62:y:2024:i:pa:s1544612324000564
    DOI: 10.1016/j.frl.2024.105026
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    References listed on IDEAS

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    1. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    2. Schmeling, Maik, 2009. "Investor sentiment and stock returns: Some international evidence," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 394-408, June.
    3. Diego García, 2013. "Sentiment during Recessions," Journal of Finance, American Finance Association, vol. 68(3), pages 1267-1300, June.
    4. Malhotra, Naresh K, 1982. "Information Load and Consumer Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(4), pages 419-430, March.
    5. Kandel, Eugene & Rindi, Barbara & Bosetti, Luisella, 2012. "The effect of a closing call auction on market quality and trading strategies," Journal of Financial Intermediation, Elsevier, vol. 21(1), pages 23-49.
    6. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    7. Malhotra, Naresh K, 1984. "Reflections on the Information Overload Paradigm in Consumer Decision Making [Perspectives on Information Overload]," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(4), pages 436-440, March.
    8. Bonner, Sarah E., 1994. "A model of the effects of audit task complexity," Accounting, Organizations and Society, Elsevier, vol. 19(3), pages 213-234, April.
    9. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Financial reporting complexity; Investor sentiment; Stock prices;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance

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