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Intra-industry information transfers: evidence from changes in implied volatility around earnings announcements

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  • Rebecca N. Hann

    (University of Maryland)

  • Heedong Kim

    (City University of New York)

  • Yue Zheng

    (The Hong Kong University of Science and Technology)

Abstract

We examine whether there is intra-industry information transfer with respect to the second moment of returns around earnings announcements. Using implied volatility from option prices to proxy for uncertainty about firm fundamentals, we find a significantly positive association between changes in the implied volatility of each industry’s first announcer and its peers around the first announcer’s earnings announcement, suggesting that earnings announcements help resolve uncertainty about the value of not only the announcing firm but also its peers. This result holds after controlling for information transfer with respect to the first moment of returns. We further find that the extent of second-moment information transfer is stronger for long-duration options, when the announcer has higher earnings quality, reports positive earnings news, or is a bellwether firm and during periods of greater macroeconomic uncertainty. Our findings suggest that peers’ earnings announcements represent an important disclosure that conveys timely information about industry uncertainty.

Suggested Citation

  • Rebecca N. Hann & Heedong Kim & Yue Zheng, 2019. "Intra-industry information transfers: evidence from changes in implied volatility around earnings announcements," Review of Accounting Studies, Springer, vol. 24(3), pages 927-971, September.
    • Handle: RePEc:spr:reaccs:v:24:y:2019:i:3:d:10.1007_s11142-019-9487-1
    DOI: 10.1007/s11142-019-9487-1
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    Cited by:

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    2. Bergsma, Kelley & Tayal, Jitendra, 2020. "Quarterly earnings announcements and intra-industry information transfer from the Pacific to the Atlantic," International Review of Financial Analysis, Elsevier, vol. 70(C).
    3. Linda H. Chen & Wei Huang & George J. Jiang & Kevin X. Zhu, 2022. "Why do investors discount earnings announced late?," Review of Quantitative Finance and Accounting, Springer, vol. 58(3), pages 977-1014, April.
    4. Shengzhong Huang & Hongping Tan & Xiongyuan Wang & Changqiu Yu, 2023. "Valuation uncertainty and analysts’ use of DCF models," Review of Accounting Studies, Springer, vol. 28(2), pages 827-861, June.
    5. S. P. Kothari & Charles Wasley, 2019. "Commemorating the 50‐Year Anniversary of Ball and Brown (1968): The Evolution of Capital Market Research over the Past 50 Years," Journal of Accounting Research, Wiley Blackwell, vol. 57(5), pages 1117-1159, December.
    6. Perico Ortiz, Daniel & Schnaubelt, Matthias & Seifert, Oleg, 2023. "A topic modeling perspective on investor uncertainty," FAU Discussion Papers in Economics 04/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    7. Christensen, Dane M. & Jin, Hengda & Lee, Joshua A. & Sridharan, Suhas A. & Wellman, Laura A., 2023. "Corporate political activism and information transfers," Working Papers 334, The University of Chicago Booth School of Business, George J. Stigler Center for the Study of the Economy and the State.

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    More about this item

    Keywords

    Second-moment information transfer; Implied volatility; Volatility risk; Uncertainty; Earnings announcements;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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