IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v63y2024ics1544612324003210.html
   My bibliography  Save this article

Can local fintech development improve analysts’ earnings forecast accuracy? Evidence from China

Author

Listed:
  • Zhang, Chaolin
  • Yu, Fangbo

Abstract

This paper examines the impact of local fintech development on the accuracy of analysts’ earnings forecasts. We employ the method of web text mining to construct the local fintech development index for empirical test. Our findings indicate that local fintech development has a substantial positive impact on analysts’ earnings forecast accuracy by promoting firm digital transformation and alleviating the information asymmetry between firms and outsiders. Additionally, this effect is particularly pronounced for analysts without equity pledge affiliation and those with weaker buy-side pressure. This study shows that local fintech development can enhance the information environment of the capital market.

Suggested Citation

  • Zhang, Chaolin & Yu, Fangbo, 2024. "Can local fintech development improve analysts’ earnings forecast accuracy? Evidence from China," Finance Research Letters, Elsevier, vol. 63(C).
  • Handle: RePEc:eee:finlet:v:63:y:2024:i:c:s1544612324003210
    DOI: 10.1016/j.frl.2024.105291
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612324003210
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2024.105291?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. Hou, Qingsong & Li, Weifang & Teng, Min & Hu, May, 2022. "Just a short-lived glory?The effect of China's anti-corruption on the accuracy of analyst earnings forecasts," Journal of Corporate Finance, Elsevier, vol. 76(C).
    2. Maria Demertzis & Silvia Merler & Guntram B Wolff, 2018. "Capital Markets Union and the Fintech Opportunity," Journal of Financial Regulation, Oxford University Press, vol. 4(1), pages 157-165.
    3. Ole‐Kristian Hope, 2003. "Disclosure Practices, Enforcement of Accounting Standards, and Analysts' Forecast Accuracy: An International Study," Journal of Accounting Research, Wiley Blackwell, vol. 41(2), pages 235-272, May.
    4. Ding, Na & Gu, Leilei & Peng, Yuchao, 2022. "Fintech, financial constraints and innovation: Evidence from China," Journal of Corporate Finance, Elsevier, vol. 73(C).
    5. Michael Firth & Chen Lin & Ping Liu & Yuhai Xuan, 2013. "The Client Is King: Do Mutual Fund Relationships Bias Analyst Recommendations?," Journal of Accounting Research, Wiley Blackwell, vol. 51(1), pages 165-200, March.
    6. Tan, Zhuohong & Wang, Handi & Hong, Yunzhe, 2023. "Does bank FinTech improve corporate innovation?," Finance Research Letters, Elsevier, vol. 55(PA).
    7. Wang, Xinyue & Cao, Yuqiang & Feng, Zhuoan & Lu, Meiting & Shan, Yaowen, 2023. "Local FinTech development and stock price crash risk," Finance Research Letters, Elsevier, vol. 53(C).
    8. Laeven, Luc & Levine, Ross & Michalopoulos, Stelios, 2015. "Financial innovation and endogenous growth," Journal of Financial Intermediation, Elsevier, vol. 24(1), pages 1-24.
    9. Amihud, Yakov & Mendelson, Haim & Lauterbach, Beni, 1997. "Market microstructure and securities values: Evidence from the Tel Aviv Stock Exchange," Journal of Financial Economics, Elsevier, vol. 45(3), pages 365-390, September.
    10. Pastor, Lubos & Stambaugh, Robert F., 2003. "Liquidity Risk and Expected Stock Returns," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 642-685, June.
    11. Qi Chen & Wei Jiang, 2006. "Analysts' Weighting of Private and Public Information," The Review of Financial Studies, Society for Financial Studies, vol. 19(1), pages 319-355.
    12. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    13. Mola, Simona & Guidolin, Massimo, 2009. "Affiliated mutual funds and analyst optimism," Journal of Financial Economics, Elsevier, vol. 93(1), pages 108-137, July.
    14. Anup Agrawal & Mark A. Chen, 2012. "Analyst Conflicts and Research Quality," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 1-40.
    15. Orie E. Barron & Mary Harris Stanford & Yong Yu, 2009. "Further Evidence on the Relation between Analysts' Forecast Dispersion and Stock Returns," Contemporary Accounting Research, John Wiley & Sons, vol. 26(2), pages 329-357, June.
    16. Christopher J. Malloy, 2005. "The Geography of Equity Analysis," Journal of Finance, American Finance Association, vol. 60(2), pages 719-755, April.
    17. Zhang, Yujin & Ye, Shujun & Liu, Jie & Du, Lihong, 2023. "Impact of the development of FinTech by commercial banks on bank credit risk," Finance Research Letters, Elsevier, vol. 55(PA).
    18. John C. Easterwood & Stacey R. Nutt, 1999. "Inefficiency in Analysts' Earnings Forecasts: Systematic Misreaction or Systematic Optimism?," Journal of Finance, American Finance Association, vol. 54(5), pages 1777-1797, October.
    Full references (including those not matched with items on IDEAS)

    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. Wu, Yanran & Zhang, Chao, 2022. "Hard to arbitrage, hard for analysts to forecast," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    2. Ramnath, Sundaresh & Rock, Steve & Shane, Philip, 2008. "The financial analyst forecasting literature: A taxonomy with suggestions for further research," International Journal of Forecasting, Elsevier, vol. 24(1), pages 34-75.
    3. Kong, Dongmin & Lin, Zhiyang & Wang, Yanan & Xiang, Junyi, 2021. "Natural disasters and analysts' earnings forecasts," Journal of Corporate Finance, Elsevier, vol. 66(C).
    4. Liu, Zhuang & Li, Xingyi, 2024. "The impact of bank fintech on ESG greenwashing," Finance Research Letters, Elsevier, vol. 62(PB).
    5. Saad, Mohsen & Samet, Anis, 2020. "Collectivism and commonality in liquidity," Journal of Business Research, Elsevier, vol. 116(C), pages 137-162.
    6. Lischewski, Judith & Voronkova, Svitlana, 2012. "Size, value and liquidity. Do They Really Matter on an Emerging Stock Market?," Emerging Markets Review, Elsevier, vol. 13(1), pages 8-25.
    7. Karstanje, Dennis & Sojli, Elvira & Tham, Wing Wah & van der Wel, Michel, 2013. "Economic valuation of liquidity timing," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5073-5087.
    8. Nagano, Mamoru, 2018. "What promotes/prevents firm bond issuance in emerging economies: Bank–firm relationship or information asymmetry?," International Review of Economics & Finance, Elsevier, vol. 56(C), pages 161-177.
    9. Yu, Haixu & Liang, Chuanyu & Liu, Zhaohua & Wang, He, 2023. "News-based ESG sentiment and stock price crash risk," International Review of Financial Analysis, Elsevier, vol. 88(C).
    10. Hatch, Brian C. & Johnson, Shane A. & Wang, Qin Emma & Zhang, Jun, 2021. "Algorithmic trading and firm value," Journal of Banking & Finance, Elsevier, vol. 125(C).
    11. Jelena Minovic, 2011. "Liquidity Measuring of Financial Market in Western Balkan Region: The Case of Serbia," Book Chapters, in: Stefan Bogdan Salej & Dejan Eric & Srdjan Redzepagic & Ivan Stosic (ed.), Contemporary Issues in the Integration Processes of Western Balkan Countries in the European Union, chapter 27, pages 443-459, Institute of Economic Sciences.
    12. Liu, Qigui & Chi, Wenqiang & Wang, Junyi, 2024. "How informative is question-and-answer similarity to financial analysts? Evidence from Chinese earnings communication conferences," Economic Modelling, Elsevier, vol. 135(C).
    13. Kang, Wenjin & Zhang, Huiping, 2014. "Measuring liquidity in emerging markets," Pacific-Basin Finance Journal, Elsevier, vol. 27(C), pages 49-71.
    14. Pierpaolo Battigalli & Carlo Chiarella & Stefano Gatti & Tommaso Orlando, 2017. "M&A negotiations with limited information: how do opaque firms buy and get bought?," Working Papers 596, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    15. Wang, Ying & Liu, Zisen, 2024. "Under the dome: Air pollution and analyst forecast optimism," Research in International Business and Finance, Elsevier, vol. 70(PA).
    16. Zhang, Ke & Zhang, Xujun & Xiong, Lingyun & Rao, Bin, 2024. "The stabilizing effect of government guarantees in real economy investment: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 219-240.
    17. Wang, Yizhong & Yao, Chengxue & Kang, Di, 2019. "Political connections and firm performance: Evidence from government officials' site visits," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    18. Li, Yunzhong & Zhao, Yu & Ye, Chengfang & Li, Xiaofan & Tao, Yunqing, 2024. "ESG ratings and the cost of equity capital in China," Energy Economics, Elsevier, vol. 136(C).
    19. K. Lebedeva, 2015. "An Empirical Analysis of the Russian Financial Markets’ Liquidity and Returns," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 3(3), pages 5-31.
    20. Chan, Jesse & Lin, Steve & Yu, Yong & Zhao, Wuyang, 2018. "Analysts’ stock ownership and stock recommendations," Journal of Accounting and Economics, Elsevier, vol. 66(2), pages 476-498.

    More about this item

    Keywords

    Local fintech development; Analysts’ earnings forecasts; Firm digital transformation; Information asymmetry;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G29 - Financial Economics - - Financial Institutions and Services - - - Other

    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:63:y:2024:i:c:s1544612324003210. 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.