Voluntary disclosure in P2P lending: Information or hyperbole?
Author
Abstract
Suggested Citation
DOI: 10.1016/j.pacfin.2023.102024
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- David de Meza & David C. Webb, 1987. "Too Much Investment: A Problem of Asymmetric Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 102(2), pages 281-292.
- Barasinska Nataliya & Schäfer Dorothea, 2014.
"Is Crowdfunding Different? Evidence on the Relation between Gender and Funding Success from a German Peer-to-Peer Lending Platform,"
German Economic Review, De Gruyter, vol. 15(4), pages 436-452, December.
- Nataliya Barasinska & Dorothea Schäfer, 2014. "Is Crowdfunding Different? Evidence on the Relation between Gender and Funding Success from a German Peer-to-Peer Lending Platform," German Economic Review, Verein für Socialpolitik, vol. 15(4), pages 436-452, November.
- Andy C.W. Chui & Sheridan Titman & K.C. John Wei, 2010. "Individualism and Momentum around the World," Journal of Finance, American Finance Association, vol. 65(1), pages 361-392, February.
- Cuiqing Jiang & Zhao Wang & Ruiya Wang & Yong Ding, 2018. "Loan default prediction by combining soft information extracted from descriptive text in online peer-to-peer lending," Annals of Operations Research, Springer, vol. 266(1), pages 511-529, July.
- Chen, Xiao & Huang, Bihong & Ye, Dezhu, 2018. "The role of punctuation in P2P lending: Evidence from China," Economic Modelling, Elsevier, vol. 68(C), pages 634-643.
- Daniel, Kent & Titman, Sheridan, 1997.
"Evidence on the Characteristics of Cross Sectional Variation in Stock Returns,"
Journal of Finance, American Finance Association, vol. 52(1), pages 1-33, March.
- Kent Daniel & Sheridan Titman, 1996. "Evidence on the Characteristics of Cross Sectional Variation in Stock Returns," NBER Working Papers 5604, National Bureau of Economic Research, Inc.
- Kathleen Weiss Hanley, 2010. "The Information Content of IPO Prospectuses," The Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2821-2864, July.
- Flannery, Mark J, 1986. "Asymmetric Information and Risky Debt Maturity Choice," Journal of Finance, American Finance Association, vol. 41(1), pages 19-37, March.
- Alexander Rodnyansky & Olivier M. Darmouni, 2017. "The Effects of Quantitative Easing on Bank Lending Behavior," The Review of Financial Studies, Society for Financial Studies, vol. 30(11), pages 3858-3887.
- Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
- Grant Packard & Andrew D. Gershoff & David B. Wooten, 2016. "When Boastful Word of Mouth Helps versus Hurts Social Perceptions and Persuasion," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 43(1), pages 26-43.
- Dorfleitner, Gregor & Priberny, Christopher & Schuster, Stephanie & Stoiber, Johannes & Weber, Martina & de Castro, Ivan & Kammler, Julia, 2016. "Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 169-187.
- Li, Zhiyong & Zhang, Haiyang & Yu, Mei & Wang, Hairan, 2019. "Too long to be true in the description? Evidence from a Peer-to-Peer platform in China," Research in International Business and Finance, Elsevier, vol. 50(C), pages 246-251.
- Roberts, Michael R. & Whited, Toni M., 2013. "Endogeneity in Empirical Corporate Finance1," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 493-572, Elsevier.
- Ginta Railiene, 2018. "Comparison of Borrower Default Factors in Online Lending," Eurasian Studies in Business and Economics, in: Mehmet Huseyin Bilgin & Hakan Danis & Ender Demir & Ugur Can (ed.), Consumer Behavior, Organizational Strategy and Financial Economics, pages 231-240, Springer.
- Parhankangas, Annaleena & Renko, Maija, 2017. "Linguistic style and crowdfunding success among social and commercial entrepreneurs," Journal of Business Venturing, Elsevier, vol. 32(2), pages 215-236.
- Qizhi Tao & Yizhe Dong & Ziming Lin, 2017. "Who can get money? Evidence from the Chinese peer-to-peer lending platform," Information Systems Frontiers, Springer, vol. 19(3), pages 425-441, June.
- Wu, Chunchi, 1993. "Information Asymmetry and the Sinking Fund Provision," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(3), pages 399-416, September.
- Riza Emekter & Yanbin Tu & Benjamas Jirasakuldech & Min Lu, 2015. "Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending," Applied Economics, Taylor & Francis Journals, vol. 47(1), pages 54-70, January.
- Mingfeng Lin & Nagpurnanand R. Prabhala & Siva Viswanathan, 2013. "Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 59(1), pages 17-35, August.
- Guay, Wayne & Samuels, Delphine & Taylor, Daniel, 2016. "Guiding through the Fog: Financial statement complexity and voluntary disclosure," Journal of Accounting and Economics, Elsevier, vol. 62(2), pages 234-269.
- Sumit Agarwal, 2010. "Distance and Private Information in Lending," The Review of Financial Studies, Society for Financial Studies, vol. 23(7), pages 2757-2788, July.
- Rajan, Raghuram G, 1992. "Insiders and Outsiders: The Choice between Informed and Arm's-Length Debt," Journal of Finance, American Finance Association, vol. 47(4), pages 1367-1400, September.
- Marco Caliendo & Sabine Kopeinig, 2008.
"Some Practical Guidance For The Implementation Of Propensity Score Matching,"
Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
- Caliendo, Marco & Kopeinig, Sabine, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," IZA Discussion Papers 1588, IZA Network @ LISER.
- Marco Caliendo & Sabine Kopeinig, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," Discussion Papers of DIW Berlin 485, DIW Berlin, German Institute for Economic Research.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Xia, Yufei & Han, Zhiyin & Li, Yawen & He, Lingyun, 2025. "Credit scoring model for fintech lending: An integration of large language models and FocalPoly loss," International Journal of Forecasting, Elsevier, vol. 41(3), pages 894-919.
- Nitin Garg & G. P. Sahu, 2025. "Decrypting peer-to-peer lending: an integrated bibliometric and content analysis approach," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 30(3), pages 1-19, September.
- Ho, Kung-Cheng & Gu, Yan & Yan, Cheng & Gozgor, Giray, 2024. "Peer effects in the online peer-to-peer lending market: Ex-ante selection and ex-post learning," International Review of Financial Analysis, Elsevier, vol. 92(C).
- Wu, Manhua & Tian, Xiujuan & Ma, Lin & Peng, Nianjiao, 2024. "Role transition, investment practice and risk Management of Peer-to-peer Lending Investors: Based on the perspective of investor learning," Pacific-Basin Finance Journal, Elsevier, vol. 88(C).
- Sahiba Khan & Ranjit Singh & Jayashree Bhattacharjee, 2025. "Factors affecting the probability of funding success and default risk of borrowers in P2P lending: a social network analysis approach," Journal of Marketing Analytics, Palgrave Macmillan, vol. 13(3), pages 645-667, September.
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.- Wang, Shaoda & Ye, Dezhu & Liao, Junyun, 2024. "Politeness matters: The role of polite languages in online peer-to-peer lending," Journal of Business Research, Elsevier, vol. 171(C).
- Yufei Xia & Lingyun He & Yinguo Li & Nana Liu & Yanlin Ding, 2020. "Predicting loan default in peer‐to‐peer lending using narrative data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 260-280, March.
- Jin Huang & Jun Li & Vania Sena, 2023. "Psychological distancing and language intensity in Peer‐to‐Peer lending," Journal of Consumer Affairs, Wiley Blackwell, vol. 57(3), pages 1281-1303, July.
- Sahiba Khan & Ranjit Singh & Jayashree Bhattacharjee, 2025. "Factors affecting the probability of funding success and default risk of borrowers in P2P lending: a social network analysis approach," Journal of Marketing Analytics, Palgrave Macmillan, vol. 13(3), pages 645-667, September.
- Gregor Dorfleitner & Eva-Maria Oswald & Rongxin Zhang, 2021. "From Credit Risk to Social Impact: On the Funding Determinants in Interest-Free Peer-to-Peer Lending," Journal of Business Ethics, Springer, vol. 170(2), pages 375-400, May.
- Li, Jianwen & Hu, Jinyan, 2019. "Does university reputation matter? Evidence from peer-to-peer lending," Finance Research Letters, Elsevier, vol. 31(C), pages 66-77.
- Qun Chen & Ji-Wen Li & Jian-Guo Liu & Jing-Ti Han & Yun Shi & Xun-Hua Guo, 2021. "Borrower Learning Effects: Do Prior Experiences Promote Continuous Successes in Peer-to-Peer Lending?," Information Systems Frontiers, Springer, vol. 23(4), pages 963-986, August.
- Qun Chen & Ji-Wen Li & Jian-Guo Liu & Jing-Ti Han & Yun Shi & Xun-Hua Guo, 0. "Borrower Learning Effects: Do Prior Experiences Promote Continuous Successes in Peer-to-Peer Lending?," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
- Douglas J. Cumming & Lars Hornuf, 2020. "Marketplace Lending of SMEs," CESifo Working Paper Series 8100, CESifo.
- Ding, Jie & Huang, Jinbo & Li, Yong & Meng, Meichen, 2019. "Is there an effective reputation mechanism in peer-to-peer lending? Evidence from China," Finance Research Letters, Elsevier, vol. 30(C), pages 208-215.
- Yeujun Yoon & Yu Li & Yan Feng, 2019. "Factors affecting platform default risk in online peer-to-peer (P2P) lending business: an empirical study using Chinese online P2P platform data," Electronic Commerce Research, Springer, vol. 19(1), pages 131-158, March.
- Dongwoo Kim, 2023. "Can investors’ collective decision-making evolve? Evidence from peer-to-peer lending markets," Electronic Commerce Research, Springer, vol. 23(2), pages 1323-1358, June.
- Samuel Ribeiro-Navarrete & Juan Piñeiro-Chousa & M. Ángeles López-Cabarcos & Daniel Palacios-Marqués, 2022. "Crowdlending: mapping the core literature and research frontiers," Review of Managerial Science, Springer, vol. 16(8), pages 2381-2411, November.
- Wang, Yao & Drabek, Zdenek & Wang, Zhengwei, 2022. "The role of social and psychological related soft information in credit analysis: Evidence from a Fintech Company," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
- Xueru Chen & Xiaoji Hu & Shenglin Ben, 2021. "How do reputation, structure design and FinTech ecosystem affect the net cash inflow of P2P lending platforms? Evidence from China," Electronic Commerce Research, Springer, vol. 21(4), pages 1055-1082, December.
- Reto Wernli & Andreas Dietrich, 2022. "Only the brave: improving self-rationing efficiency among discouraged Swiss SMEs," Small Business Economics, Springer, vol. 59(3), pages 977-1003, October.
- Dorfleitner, Gregor & Rad, Jacqueline & Weber, Martina, 2017. "Pricing in the online invoice trading market: First empirical evidence," Economics Letters, Elsevier, vol. 161(C), pages 56-61.
- Kriebel, Johannes & Stitz, Lennart, 2022. "Credit default prediction from user-generated text in peer-to-peer lending using deep learning," European Journal of Operational Research, Elsevier, vol. 302(1), pages 309-323.
- José María Liberti & Mitchell A. Petersen, 2018. "Information: Hard and Soft," NBER Working Papers 25075, National Bureau of Economic Research, Inc.
- Wu, Yu & Zhang, Tong, 2021. "Can credit ratings predict defaults in peer-to-peer online lending? Evidence from a Chinese platform," Finance Research Letters, Elsevier, vol. 40(C).
More about this item
Keywords
; ; ; ; ;JEL classification:
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
- G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
Statistics
Access and download statisticsCorrections
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:pacfin:v:79:y:2023:i:c:s0927538x23000902. 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/pacfin .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/eee/pacfin/v79y2023ics0927538x23000902.html