INFORMAZIONI SU QUESTO ARTICOLO

Cita

1. Barasinska, N., Schäfer, D. (2014). Is Crowdfunding Different? Evidence on the Relation Between Gender and Funding Success from a German Peer-To-Peer Lending Platform // German Economic Review. Vol. 15, No. 4, pp. 436–452. https://doi.org/10.1111/geer.1205210.1111/geer.12052Open DOISearch in Google Scholar

2. Cai, S., Lin, X., Xu, D., Fu, X. (2016). Judging Online Peer-to-Peer Lending Behavior: A Comparison of First-Time and Repeated Borrowing Requests // Information & Management. Vol. 53, No. 7, pp. 857–867. https://doi.org/10.1016/j.im.2016.07.00610.1016/j.im.2016.07.006Open DOISearch in Google Scholar

3. Davis, K., Murphy, J. (2016). Peer to Peer Lending: Structures, Risks and Regulation. Internet access: http://kevindavis.com.au/secondpages/acadpubs/2016/JASSA%20Paper%20-%20P2P%20Lending%20-%20Davis%20and%20Murphy%20-%20final.pdfSearch in Google Scholar

4. Ding, J., Huang, J., Li, Y., Meng, M. (2018). Is There an Effective Reputation Mechanism in Peer-to-Peer Lending? Evidence from China // Finance Research Letters. https://doi.org/10.1016/j.frl.2018.09.01510.1016/j.frl.2018.09.015Open DOISearch in Google Scholar

5. Emekter, R., Tu, Y., Jirasakuldech, B., Lu, M. (2015). Evaluating Credit Risk and Loan Performance in Online Peer-to-Peer (P2P) Lending // Applied Economics. Vol. 47, No. 1, pp. 54–70. https://doi.org/10.1080/00036846.2014.96222210.1080/00036846.2014.962222Open DOISearch in Google Scholar

6. Fong, A. (2015). Regulation of Peer-to-Peer Lending in Hong Kong: State of Play // Law and Financial Markets Review. Vol. 9, No. 4, pp. 251–259. https://doi.org/10.1080/17521440.2015.111424810.1080/17521440.2015.1114248Search in Google Scholar

7. Freedman, S., Jin, G. Z. (2017). The Information Value of Online Social Networks: Lessons from Peer-to-Peer Lending // International Journal of Industrial Organization. Vol. 51, pp. 185–222. https://doi.org/10.1016/j.ijindorg.2016.09.00210.1016/j.ijindorg.2016.09.002Open DOISearch in Google Scholar

8. Funding Circle Statistics. Internet access: www.fundingcircle.com/uk/statistics/Search in Google Scholar

9. Ge, R., Feng, J., Gu, B., Zhang, P. (2017). Predicting and deterring default with social media information in peer-to-peer lending // Journal of Management Information Systems. Vol. 34, No. 2, pp. 401–424. https://doi.org/10.1080/07421222.2017.133447210.1080/07421222.2017.1334472Open DOISearch in Google Scholar

10. Guo, Y., Zhou, W., Luo, C., Liu, C., Xiong, H. (2016). Instance-Based Credit Risk Assessment for Investment Decisions in P2P Lending // European Journal of Operational Research. Vol. 249, No. 2, pp. 417–426. doi.org/10.1016/j.ejor.2015.05.05010.1016/j.ejor.2015.05.050Search in Google Scholar

11. Lei, X. (2016). Discussion of the Risks and Risk Control of P2P in China // Modern Economy. Vol. 7, No. 04, pp. 399. doi: 10.4236/me.2016.7404310.4236/me.2016.74043Search in Google Scholar

12. Lichtenwald, R. (2014). The History of Peer to Peer Lending. Peer and Social Lending. Internet access: http://peersociallending.com/news/history-peer-peer-lending/Search in Google Scholar

13. Lin, M., Prabhala, N. R., Viswanathan, S. (2013). Judging Borrowers by the Company they Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending // Management Science. Vol. 59, No. 1, pp. 17–35. https://doi.org/10.1080/00036846.2016.126252610.1080/00036846.2016.1262526Open DOISearch in Google Scholar

14. Lin, X., Li, X., Zheng, Z. (2017). Evaluating Borrower’s Default Risk in Peer-to-Peer Lending: Evidence from a Lending Platform in China // Applied Economics. Vol. 49, No. 35, pp. 3538–3545. https://doi.org/10.1080/00036846.2016.126252610.1080/00036846.2016.1262526Open DOISearch in Google Scholar

15. Liu, Y., Zhou, Q., Zhao, X., Wang, Y. (2018). Can Listing Information Indicate Borrower Credit Risk in Online Peer-to-Peer Lending? // Emerging Markets Finance and Trade. Vol. 54, No. 13, pp. 2982–2994. https://doi.org/10.1080/1540496X.2018.142706110.1080/1540496X.2018.1427061Open DOISearch in Google Scholar

16. Ma, H. Z., Wang, X. R. (2016). Influencing Factor Analysis of Credit Risk in P2P Lending Based on Interpretative Structural Modeling // Journal of Discrete Mathematical Sciences and Cryptography. Vol. 19, No. 3, pp. 777–786. https://doi.org/10.1080/09720529.2016.117893510.1080/09720529.2016.1178935Open DOISearch in Google Scholar

17. Malekipirbazari, M., Aksakalli, V. (2015). Risk Assessment in Social Lending Via Random Forests // Expert Systems with Applications. Vol. 42, No. 10, pp. 4621–4631. https://doi.org/10.1016/j.eswa.2015.02.00110.1016/j.eswa.2015.02.001Search in Google Scholar

18. Mateescu, A. (2015). Peer-to-Peer Lending. Data & Society Research Institute, pp. 19–25. Internet access: https://www.datasociety.net/pubs/dcr/PeertoPeerLending.pdfSearch in Google Scholar

19. Milne, A., Parboteeah, P. (2016). The Business Models and Economics of Peer-to-Peer Lending. Internet access: http://dx.doi.org/10.2139/ssrn.276368210.2139/ssrn.2763682Open DOISearch in Google Scholar

20. Pokorna, M., Sponer, M. (2016). Social Lending and its Risks // Procedia-Social and Behavioral Sciences. Vol. 220, pp. 330–337. https://doi.org/10.1016/j.sbspro.2016.05.50610.1016/j.sbspro.2016.05.506Open DOISearch in Google Scholar

21. Republic of Lithuania Law on Consumer Credit. No. XII-1989. Internet access: https://e-seimas.lrs.lt/portal/legalAct/lt/TAD/5c534e403c5c11e68f278e2f1841c088?jfwid=-vkzfyh270Search in Google Scholar

22. Riggins, F. J., Weber, D. M. (2017). Information Asymmetries and Identification Bias in P2P Social Microlending // Information Technology for Development. Vol. 23, No. 1, pp. 107–126. https://doi.org/10.1080/02681102.2016.124734510.1080/02681102.2016.1247345Open DOISearch in Google Scholar

23. Serrano-Cinca, C., Gutierrez-Nieto, B., López-Palacios, L. (2015). Determinants of Default in P2P Lending // PloS One. Vol. 10, No. 10, pp. e0139427. https://doi.org/10.1371/journal.pone.013942710.1371/journal.pone.0139427Search in Google Scholar

24. Wei, S. (2015). Internet Lending in China: Status Quo, Potential Risks and Regulatory Options // Computer Law & Security Review. Vol. 31, No. 6, pp. 793–809. https://doi.org/10.1016/j.clsr.2015.08.00510.1016/j.clsr.2015.08.005Open DOISearch in Google Scholar

25. Wooldridge, J. M. (2003). Introductory Econometrics: A Modern Approach. – Australia; Cincinnati, Ohio: South-Western College Pub., c2003.Search in Google Scholar

26. Zhang, Y., Li, H., Hai, M., Li, J., Li, A. (2017). Determinants of Loan Funded Successful in Online P2P Lending // Procedia Computer Science. Vol. 122, pp. 896–901. https://doi.org/10.1016/j.procs.2017.11.45210.1016/j.procs.2017.11.452Open DOISearch in Google Scholar