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Information disclosure and the default risk of online peer-to-peer lending platform

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  • Wang, Qian
  • Su, Zhongnan
  • Chen, Xinyang

Abstract

•we extend the discussion of the role of information disclosure to P2P online lending market.•Higher level of disclosure is associated with lower default probability•The disclosure on audit information has highest influence on reducing default risk.•Longer loan maturity is related to lower probability of default.•The influence of interest rate and platform size is insignificant.

Suggested Citation

  • Wang, Qian & Su, Zhongnan & Chen, Xinyang, 2021. "Information disclosure and the default risk of online peer-to-peer lending platform," Finance Research Letters, Elsevier, vol. 38(C).
    • Handle: RePEc:eee:finlet:v:38:y:2021:i:c:s1544612319313716
    DOI: 10.1016/j.frl.2020.101509
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    Cited by:

    1. Ho, Kung-Cheng & Yen, Huang-Ping & Lu, Canyi & Lee, Shih-Cheng, 2023. "Does information disclosure and transparency ranking system prevent the default risk of a firm?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1089-1105.
    2. Sha, Yezhou, 2022. "Rating manipulation and creditworthiness for platform economy: Evidence from peer-to-peer lending," International Review of Financial Analysis, Elsevier, vol. 84(C).
    3. Yeh, Jen-Yin & Chiu, Hsin-Yu & Huang, Jhih-Huei, 2024. "Predicting failure of P2P lending platforms through machine learning: The case in China," Finance Research Letters, Elsevier, vol. 59(C).
    4. Arif Perdana & Pearpilai Jutasompakorn & Sunghun Chung, 2023. "Shaping crowdlending investors’ trust: Technological, social, and economic exchange perspectives," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    5. Wang, Jinbo & Ran, Maosheng & Huang, Qing & Li, Wanli, 2022. "Nationalization of private enterprises and default risk: Evidence from mixed-ownership reform in China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 534-553.
    6. Jen-Yin Yeh & Hsin-Yu Chiu & Jhih-Huei Huang, 2023. "Predicting Failure of P2P Lending Platforms through Machine Learning: The Case in China," Papers 2311.14577, arXiv.org.
    7. Evangelos Katsamakas & J. Manuel Sanchez-Cartas, 2024. "A computational model of the effects of borrower default on the stability of P2P lending platforms," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(3), pages 597-618, September.

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