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The effect of the COVID-19 pandemic on information disclosure: Evidence from China

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  • Wan, Zhao
  • Tian, Haowen

Abstract

Using Chinese data, this study examines the effect of COVID-19 pandemic on tendencies and characteristics of information disclosure. Results show that, due to uncertainty caused by the pandemic, it is difficult to make earnings forecasts. Further, during the pandemic, forecast precision and timeliness decrease. The results remain unchanged under difference-in-difference (DiD) estimation. The findings of this paper extend existing studies on the economic consequences of COVID-19 pandemic and the influencing factors of information disclosure, providing implications for corporate managers, investors, and regulators.

Suggested Citation

  • Wan, Zhao & Tian, Haowen, 2022. "The effect of the COVID-19 pandemic on information disclosure: Evidence from China," Economics Letters, Elsevier, vol. 217(C).
  • Handle: RePEc:eee:ecolet:v:217:y:2022:i:c:s0165176522002270
    DOI: 10.1016/j.econlet.2022.110678
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    References listed on IDEAS

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    1. Croce, Mariano & Farroni, Paolo & Wolfskeil, Isabella, 2020. "When the Markets Get COVID: COntagion, Viruses, and Information Diffusion," CEPR Discussion Papers 14674, C.E.P.R. Discussion Papers.
    2. Jena, Pradyot Ranjan & Majhi, Ritanjali & Kalli, Rajesh & Managi, Shunsuke & Majhi, Babita, 2021. "Impact of COVID-19 on GDP of major economies: Application of the artificial neural network forecaster," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 324-339.
    3. Kitagawa, Norio, 2021. "Macroeconomic uncertainty and management forecast accuracy," Journal of Contemporary Accounting and Economics, Elsevier, vol. 17(3).
    4. Chen, Shuping & Matsumoto, Dawn & Rajgopal, Shiva, 2011. "Is silence golden? An empirical analysis of firms that stop giving quarterly earnings guidance," Journal of Accounting and Economics, Elsevier, vol. 51(1-2), pages 134-150, February.
    5. Yilmazkuday, Hakan, 2022. "COVID-19 and Monetary policy with zero bounds: A cross-country investigation," Finance Research Letters, Elsevier, vol. 44(C).
    6. Caggiano, Giovanni & Castelnuovo, Efrem & Kima, Richard, 2020. "The global effects of Covid-19-induced uncertainty," Economics Letters, Elsevier, vol. 194(C).
    7. Chen, Shuping & Matsumoto, Dawn & Rajgopal, Shiva, 2011. "Is silence golden? An empirical analysis of firms that stop giving quarterly earnings guidance," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 134-150.
    8. HaiYue Liu & Aqsa Manzoor & CangYu Wang & Lei Zhang & Zaira Manzoor, 2020. "The COVID-19 Outbreak and Affected Countries Stock Markets Response," IJERPH, MDPI, vol. 17(8), pages 1-19, April.
    9. Kim, O & Verrecchia, Re, 1991. "Trading Volume And Price Reactions To Public Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 29(2), pages 302-321.
    10. Yinghua Li & Liandong Zhang, 2015. "Short Selling Pressure, Stock Price Behavior, and Management Forecast Precision: Evidence from a Natural Experiment," Journal of Accounting Research, Wiley Blackwell, vol. 53(1), pages 79-117, March.
    11. Park, Jihwon & Sani, Jalal & Shroff, Nemit & White, Hal, 2019. "Disclosure incentives when competing firms have common ownership," Journal of Accounting and Economics, Elsevier, vol. 67(2), pages 387-415.
    12. repec:zbw:bofrdp:2020_011 is not listed on IDEAS
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    Cited by:

    1. Xie, Wenlan & Tian, Haowen, 2023. "The effect of the COVID-19 pandemic on corporate trade credit financing," Economics Letters, Elsevier, vol. 232(C).
    2. Filippo Vitolla & Vitiana L?Abate & Nicola Raimo & Arcangelo Marrone, 2024. "Gli effetti della pandemia da COVID-19 sulla disclosure aziendale. Un?analisi empirica nella prospettiva dell?Integrated Reporting," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2024(1), pages 155-177.
    3. Tian, Haowen & Wang, Junkai, 2024. "Navigating the storm: How the COVID-19 pandemic transformed the M&A landscape," Finance Research Letters, Elsevier, vol. 59(C).
    4. Lee, Eugenia Y. & Ha, Wonsuk, 2022. "Electronic voting and strategic disclosure before shareholder meetings," Economics Letters, Elsevier, vol. 219(C).
    5. Chen, Tianhao & Chiu, Peng-Chia & Wang, Yiqian, 2024. "Media sentiment and management earnings forecasts: Evidence from China," Finance Research Letters, Elsevier, vol. 60(C).

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    More about this item

    Keywords

    COVID-19 pandemic; Information disclosure; Forecast precision; Forecast timeliness;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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