IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v49y2022ics1544612322002860.html
   My bibliography  Save this article

Weathering information disruption: Typhoon strikes and analysts’ forecast dispersion

Author

Listed:
  • Gao, Haoyu
  • Wen, Huiyu
  • Yu, Shujiaming

Abstract

This study exploits typhoon strikes as a type of exogenous shock and examines the effects of extreme weather events on information production in financial markets. Using historical typhoon information in China, we find that analysts’ forecast dispersion soars significantly when typhoons are near or land in the city in which the firm's headquarter is located. In support of the information disruption mechanism, typhoon strikes have more substantial effects on exacerbating information uncertainty and reduce site visits to firms. An alternative explanation of earnings uncertainty is excluded. Our findings contribute to research on climate-induced adverse effects related to information acquisition costs.

Suggested Citation

  • Gao, Haoyu & Wen, Huiyu & Yu, Shujiaming, 2022. "Weathering information disruption: Typhoon strikes and analysts’ forecast dispersion," Finance Research Letters, Elsevier, vol. 49(C).
  • Handle: RePEc:eee:finlet:v:49:y:2022:i:c:s1544612322002860
    DOI: 10.1016/j.frl.2022.103053
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612322002860
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2022.103053?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yang, Jun & Lu, Jing & Xiang, Cheng, 2020. "Do disclosures of selective access improve market information acquisition fairness? Evidence from company visits in China," Journal of Corporate Finance, Elsevier, vol. 64(C).
    2. X. Frank Zhang, 2006. "Information Uncertainty and Stock Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 105-137, February.
    3. Rehse, Dominik & Riordan, Ryan & Rottke, Nico & Zietz, Joachim, 2019. "The effects of uncertainty on market liquidity: Evidence from Hurricane Sandy," Journal of Financial Economics, Elsevier, vol. 134(2), pages 318-332.
    4. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    5. Haoyu Gao & Huiyu Wen & Shujiaming Yu, 2021. "Pandemic Effect on Analyst Forecast Dispersion: Earnings Uncertainty or Information Lockdown?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(6), pages 1699-1715, May.
    6. Javadi, Siamak & Masum, Abdullah-Al, 2021. "The impact of climate change on the cost of bank loans," Journal of Corporate Finance, Elsevier, vol. 69(C).
    7. Qiang Cheng & Fei Du & Xin Wang & Yutao Wang, 2016. "Seeing is believing: analysts’ corporate site visits," Review of Accounting Studies, Springer, vol. 21(4), pages 1245-1286, December.
    8. Dessaint, Olivier & Matray, Adrien, 2017. "Do managers overreact to salient risks? Evidence from hurricane strikes," Journal of Financial Economics, Elsevier, vol. 126(1), pages 97-121.
    9. Grennan, Jillian & Michaely, Roni, 2021. "FinTechs and the Market for Financial Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 56(6), pages 1877-1907, September.
    10. Liu, Chang & Liu, Linlin & Zhang, Dayong & Fu, Jiasha, 2021. "How does the capital market respond to policy shocks? Evidence from listed solar photovoltaic companies in China," Energy Policy, Elsevier, vol. 151(C).
    11. Elliott, Robert J.R. & Strobl, Eric & Sun, Puyang, 2015. "The local impact of typhoons on economic activity in China: A view from outer space," Journal of Urban Economics, Elsevier, vol. 88(C), pages 50-66.
    12. Chen, Deqiu & Ma, Yujing & Martin, Xiumin & Michaely, Roni, 2022. "On the fast track: Information acquisition costs and information production," Journal of Financial Economics, Elsevier, vol. 143(2), pages 794-823.
    13. Yu, Chin-Hsien & Zhu, Jian-Da & McCarl, Bruce A., 2019. "Market Response to Typhoons: the Role of Information and Expectation," 2019 Annual Meeting, July 21-23, Atlanta, Georgia 290758, Agricultural and Applied Economics Association.
    14. Ed Dehaan & Joshua Madsen & Joseph D. Piotroski, 2017. "Do Weather‐Induced Moods Affect the Processing of Earnings News?," Journal of Accounting Research, Wiley Blackwell, vol. 55(3), pages 509-550, June.
    15. James R. Brown & Matthew T. Gustafson & Ivan T. Ivanov, 2021. "Weathering Cash Flow Shocks," Journal of Finance, American Finance Association, vol. 76(4), pages 1731-1772, August.
    16. Suresh De Mel & David McKenzie & Christopher Woodruff, 2012. "Enterprise Recovery Following Natural Disasters," Economic Journal, Royal Economic Society, vol. 122(559), pages 64-91, March.
    17. Kong, Dongmin & Lin, Zhiyang & Wang, Yanan & Xiang, Junyi, 2021. "Natural disasters and analysts' earnings forecasts," Journal of Corporate Finance, Elsevier, vol. 66(C).
    18. Kim, Soonho & Na, Haejung, 2020. "Earnings information, arbitrage constraints, and the forecast dispersion anomaly," Finance Research Letters, Elsevier, vol. 35(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Na & Chen, Wenchuan & Wang, Jianyong & Shi, Huaizhi, 2023. "Typhoon strikes, distracted analyst and forecast accuracy: Evidence from China," Finance Research Letters, Elsevier, vol. 51(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yan Yu, 2022. "Analyst Earnings Forecast Optimism during the COVID-19 Pandemic: Evidence from China," Sustainability, MDPI, vol. 14(19), pages 1-16, October.
    2. Tam, Lewis H.K. & Tian, Shaohua, 2023. "Language barriers, corporate site visit, and analyst forecast accuracy," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 68-83.
    3. Chen, Xin, 2021. "Lunar eclipses, analyst sentiment, and earnings forecasts: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1007-1024.
    4. Braun, Alexander & Braun, Julia & Weigert, Florian, 2023. "Extreme weather risk and the cost of equity," CFR Working Papers 23-08, University of Cologne, Centre for Financial Research (CFR).
    5. Xiaofeng Quan & Cheng Xiang & Donghui Li & Kelvin Jui Keng Tan, 2023. "To see is to believe: Corporate site visits and mutual fund herding," Financial Management, Financial Management Association International, vol. 52(4), pages 711-740, December.
    6. Akter, Maimuna & Cumming, Douglas & Ji, Shan, 2023. "Natural disasters and market manipulation," Journal of Banking & Finance, Elsevier, vol. 153(C).
    7. Chang, Danting & Li, Feng, 2023. "Uncovering the information content in abnormal institutional visits," Finance Research Letters, Elsevier, vol. 55(PB).
    8. Chen, Kejing & Guo, Wenqi & Jiang, Lin & Xiong, Xiong & Yang, Mo, 2022. "Does time-space compression affect analyst forecast performance?," Research in International Business and Finance, Elsevier, vol. 62(C).
    9. Cao, June & Li, Wenwen & Bilokha, Alona, 2022. "Low-carbon city initiatives and analyst behaviour: A quasi-natural experiment," Journal of Financial Stability, Elsevier, vol. 62(C).
    10. Siamak Javadi & Abdullah‐Al Masum & Mohsen Aram & Ramesh P. Rao, 2023. "Climate change and corporate cash holdings: Global evidence," Financial Management, Financial Management Association International, vol. 52(2), pages 253-295, June.
    11. Lai, Shaojie & Chen, Lihan & Wang, Qing Sophie & Anderson, Hamish, 2022. "Natural disasters, trade credit, and firm performance," Economic Modelling, Elsevier, vol. 116(C).
    12. Wu, Fang & Cao, June & Zhang, Xiaosan, 2023. "Do non-executive employees matter in curbing corporate financial fraud?," Journal of Business Research, Elsevier, vol. 163(C).
    13. Yang, Xia & Ma, Zhong, 2022. "Institutional investors’ corporate site visits and dividend payouts," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 697-716.
    14. Li, Frank Weikai & Sun, Chengzhu, 2022. "Information acquisition and expected returns: Evidence from EDGAR search traffic," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    15. Adriana Kocornik-Mina & Thomas K. J. McDermott & Guy Michaels & Ferdinand Rauch, 2020. "Flooded Cities," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 35-66, April.
    16. Xiaofei Zhao, 2017. "Does Information Intensity Matter for Stock Returns? Evidence from Form 8-K Filings," Management Science, INFORMS, vol. 63(5), pages 1382-1404, May.
    17. Minhang Deng & Yunyi Wang & Gaoliang Tian & Bozhi Xu & Yuyan Tang, 2023. "Institutional investors' corporate site visits and resource extraction: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(5), pages 5211-5243, December.
    18. Yanan Li & Wenjun Wang, 2022. "Company visits and mutual fund performance: new evidence on managerial skills," Journal of Asset Management, Palgrave Macmillan, vol. 23(6), pages 504-521, October.
    19. Ma, Rui & Marshall, Ben R. & Nguyen, Hung T. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2022. "Climate events and return comovement," Journal of Financial Markets, Elsevier, vol. 61(C).
    20. Chen, Deqiu & Ma, Yujing & Martin, Xiumin & Michaely, Roni, 2022. "On the fast track: Information acquisition costs and information production," Journal of Financial Economics, Elsevier, vol. 143(2), pages 794-823.

    More about this item

    Keywords

    Climate risk; Analysts’ forecast dispersion; Information acquisition costs; Typhoon;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G34 - Financial Economics - - Corporate Finance and Governance - - - Mergers; Acquisitions; Restructuring; Corporate Governance
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:49:y:2022:i:c:s1544612322002860. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.