|Title:||Determinants of Successful Loan Application on Peer-to-Peer Lending Market|
Vol. 11, No 1, 2018
Published date: 30-03-2018 (print) / 30-03-2018 (online)
Economics & Sociology
ISSN: 2071-789X, eISSN: 2306-3459
Technical University of Košice
Technical University of Košice
Technical University of Košice
Pan-European University in Bratislava
|Keywords:||peer-to-peer lending, loan application, financial marketplace, electronic commerce|
|JEL classification:||H81, L81|
Peer-to-peer lending, as an alternative to classic bank loans, has become popular all over the world. On the basis of the conceptual characteristics, it can be expected that loans should be more advantageous from the view of costs. But as the studies describe, there are significant differences due to the factors, which can be affected by borrowers with the aim to get funded. We have examined the role of the particular factors, as part of provided data by borrowers for the decision-making process by investors in the dataset from the peer-to-peer lending website Bondora, managed by the Estonian company Isepankur. With the method of the multinomial logistic regression model, we described the importance of borrowers’ decisions and their effects on funding results. The debt to income rate is the most significant variable and the highest negative impact is reached by the home ownership type variable. There are 28 factors with a non-negative impact and 20 factors have a negative influence. Comparison of these findings to other studies enable us to describe the impacts of the social identity data and information about the loan for investors, within the peer-to-peer lending market environment.
1. Akerlof, G. (1970). The market for lemons: quality uncertainty and the market mechanism. Quarterly Journal of Economics, 84, 488-500.
2. Barasinska, N. (2011). Does Gender Affect Investors’ Appetite for Risk? Evidence from Peer-to-Peer Lending. German Institute for Economic Research Discussion Paper Series, 1125, 1-32. DOI: 10.2139/ssrn.1858719.
3. Bánociová, A. and Martinková, S., (2017). Active Labour Market Policies of Selected European Countries and Their Competitiveness. Journal of Competitiveness, 9(3), 5-21. DOI: 10.7441/joc.2017.03.01. Available online: http://www.cjournal.cz/files/254.pdf.
4. Belleflamme, P., Lambert, T. and Schwienbacher, A. (2011). Crowdfunding: Tapping the Right Crowd.
5. Bem, A. and Michalski, G. (2015). Hospital Profitability vs. Selected Healthcare System Indicators. Central European Conference in Finance and Economics 2015, Technical University of Košice, 52-61.
6. Birkes, D. and Dodge, Y. (1993). Alternative Methods of Regression. Hoboken: Wiley. 240 p.
7. Bożek, S. and Emerling, I. (2016). Protecting the organization against risk and the role of financial audit on the example of the internal audit. Oeconomia Copernicana, 7(3), 485-499. DOI: https://doi.org/10.12775/OeC.2016.028.
8. Cipovová, E., Belás, J. (2012). Assessment of Credit Risk Approaches in Relation with competitiveness Increase of the Banking Sector. Journal of Competitiveness, 4(2), 69-84. DOI: 10.7441/joc.2012.02.05. Available online: http://www.cjournal.cz/files/96.p
9. Chen, N., Ghosh, A. and Lambert, N. S. (2014). Auctions for social lending: A theoretical analysis. Games and Economic Behavior, 86, 367-391. DOI: 10.1016/j.geb.2013.05.004.
10. Constantinescu, L. M., Drăgoi, V. E. (2015). An assessments of the banking system performence of Romania & United Kingdom during the last financial crisis. Polish Journal of Management Studies, 11(1), 17-27.
11. Dusatkova, M., Zinecker, M. (2016). Valuing start-ups – selected approaches and their modification based on external factors. Business: Theory and Practice, 17(4), 325-344. https://doi.org/10.3846/btp.17.11129
12. Gąsiorowski, J. (2016). Managing security in electronic banking – legal and organisational aspects, Forum Scientiae Oeconomia, 4(1), 123-136.
13. Emekter, R., Tu, Y., Jirasakuldech, B. and Lu, M. (2015). Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending. Applied Economics, 47(1), 54-70. DOI: 10.1080/00036846.2014.962222.
14. Falola, H. O, Salau, O. P, Olokundun, M. A, Oyafunke-Omoniyi, C. O, Ibidunni, A. S, Oludayo, O. A. (2018). Employees’ intrapreneurial engagement initiatives and its influence on organisational survival. Business: Theory and Practice, 19, 9-16. https://doi
15. Feller, J., Gleasure, R. and Treacy, S. (2014). Personal Transparency and Unexpected Information Sharing in Peer-to-Peer Lending Success: An Empirical Study. Journal of Information Technology. Technology-Enabled Organizational Transparency and Openness Wo
16. Fischer, R. A. (1921). Studies in crop variation. I. An examination of the yield of dressed grain from Broadbalk. The Journal of Agricultural Science, 11(2), 107-135. DOI: 10.1017/S0021859600003750.
17. Freedman, S. and Jin, G. Z. (2008). Do Social Networks Solve Information Problems for Peer-to-Peer Lending? Evidence from Prosper.com. Net Institute Working Paper, 08-43. DOI: 10.2139/ssrn.1936057. Available online: http://en.ccer.edu.cn/download/6641-1.
18. Gavurova, B., Tkacova, A. and Tucek, D. (2017). Determinants of public fund´s savings formation via public procurement process. Administratie si Management Public, 28, 25-44.
19. Grčić Fabić, M., Zekić, Z. and Samaržija, L. (2016). Implementation of Management Innovation – a Precondition for the Development of Local Government Effectiveness: Evidence from Croatia. Administration and Public Management, 27, 7-29. Available online: h
20. Hagyari, P., Bačík, R. and Fedorko, R. (2016). Analysis of the key factors of reputation management in conditions of city marketing. Polish Journal of Management Studies, 13(1), 69-80. DOI: 10.17512/pjms.2016.13.1.07. Available online: https://pjms.zim.pc
21. Hemer, J., Schneider, U., Dornbusch, F. and Frey, S. (2011). Crowdfunding und andere Formen informeller Mikrofinanzierung in der Projekt- und Innovationsfinanzierung. Karlsruhe: Fraunhofer-Institut für System- und Innovationsforschung.
22. Herzenstein, M., Andrews, R. L., Dholakia, U. M. and Lyandres, E. (2008). The democratization of personal consumer loans? Determinants of success in online peer-to-peer lending communities. Available online: https://www.prosper.com/downloads/research/demo
23. Herzenstein, M., Dholakia, U. M. and Andrews, R. L. (2011). Strategic herding behavior in peer-to-peer loan auctions. Journal of Interactive Marketing, 25(1), 27-36. DOI: 10.1016/j.intmar.2010.07.001. Available online: https://www.sciencedirect.com/scienc
24. Hildebrand, T., Puri, M. and Rocholl, J. (2010). Skin in the Game: Evidence from the Online Social Lending Market. Available online: http://www.lse.ac.uk/fmg/events/capitalMarket/pdf/CMW10J_RochollSkinintheGame.pdf. Referred on 23. 9. 2017.
25. Howe, J. (2006). The rise of crowdsourcing. Wired Magazine. Available online: https://www.wired.com/2006/06/crowds/. Referred on 4. 7. 2017.
26. Jarque, C. M., Bera, A. K. (1980). Efficient tests for normality, homoscedasticity and serial independence of regression residuals. Economics Letters, 6(3), 255-259. DOI: 10.1016/0165-1765(80)90024-5.
27. Jonek-Kowalska, I. (2017). Coal mining in Central-East Europe in perspective of industrial risk. Oeconomia Copernicana, 8(1), 131-143. DOI: https://doi.org/10.24136/oc.v8i1.9.
28. Jovanović, F., Milijić, N., Dimitrova, M., and Mihajlović, I. (2016). Risk Management Impact Assessment on the Success of Strategic Investment Projects: Benchmarking Among Different Sector Companies. Acta Polytechnica Hungarica, 13(5), 221-241.
29. Kortleben, H. and Vollmar, B. H. (2012). Crowdinvesting – eine Alternative in der Gründungsfinanzierung? Private Hochschule Göttingen Forschungspapiere, 6, 1-60. Available online: https://www.pfh.de/fileadmin/Content/PDF/forschungspapiere/crowdinvesting-e
30. Kovacova, M. and Kliestik, T. (2017). Logit and Probit application for the prediction of bankruptcy in Slovak companies. Equilibrium. Quarterly Journal of Economics and Economic Policy, 12(4), 775-791. DOI: 10.24136/eq.v12i4.40.
31. Luo, B. and Lin, Z. (2013). A decision tree model for herd behavior and empirical evidence from the online P2P lending market. Information Systems and e-Business Management, 11(1), 141-160. DOI: 10.1007/s10257-011-0182-4. Available online: https://link.sp
32. Michalski, G. (2014). Value-Based Working Capital Management. Palgrave Macmillan. DOI: 10.1057/9781137391834.
33. Michalski, G. (2016). Risk Pressure and Inventories Levels. Influence of Risk Sensitivity on Working Capital Levels. Economic Computation and Economic Cybernetics Studies and Research, 50(1), 189-196. Available online: http://www.ecocyb.ase.ro/nr20161/11
34. Petersen, M. A. (2004). Information: Hard and Soft. Northwestern University Working Paper, July 2004, 1-20. Available online: http://www.kellogg.northwestern.edu/faculty/petersen/htm/papers/hard%20and%20soft%20information.pdf. Referred on 4. 7. 2017.
35. Pindyck, R. S. and Rubinfeld, D. L. (1997). Econometric Models and Economic Forecasts, Boston: McGraw-Hill.
36. Pope, D. and Sydnor, J. (2011). What’s in a picture? Evidence from Prosper.com. Journal of Human Resources, 46(1), 53-92. DOI: 10.1353/jhr.2011.0025. Available online: https://faculty.chicagobooth.edu/devin.pope/research/pdf/Website_Prosper.pdf. Referred
37. Pötzsch, S. and Böhme, R. (2010). The Role of Soft Information in Trust Building: Evidence from Online Social Lending. Trust and Trustworthy Computing – Third International Conference 2010, 381–395. DOI: 10.1007/978-3-642-13869-0_28. Available online: htt
38. Ravina, E. (2008). Love & Loans: The Effect of Beauty & Personal Characteristics in Credit Markets. Columbia University Working Paper, 1-77. DOI: 10.2139/ssrn.1107307. Available online: https://www0.gsb.columbia.edu/mygsb/faculty/research/pubfiles/3162/be
39. Sanusi, K. A., Meyer, D., Ślusarczyk, B. (2017). The relationship between changes in inflation and financial development. Polish Journal of Management Studies, 16(2), 253-265.
40. Sonenshein, S., Herzenstein, M. and Dholakia, U. M. (2011). How accounts shape lending decisions through fostering perceived trustworthiness. Organizational Behavior and Human Decision Processes, 115(1), 69-84. DOI: 10.1016/j.obhdp.2010.11.009.
41. Szczygieł, N., Rutkowska-Podołowska M. and Michalski, G. (2015). Information and Communication Technologies in Healthcare: Still Innovation or Reality? Innovative and Entrepreneurial Value-creating Approach in Healthcare Management. 5th Central European C
42. Žurga, G. (2017). Contemporary values in public administration and indication of their further development. Administratie si Management Public, (29), 108-127.
43. Weiss, G. N. F., Pelger, K. and Horsch, A. (2010). Mitigating Adverse Selection in P2P Lending – Empirical Evidence from Prosper.com. DOI: 10.2139/ssrn.1650774. Available online: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=1650774. Referred on 23.
44. Zheng, Y., Chen, X., and Liu, F. (2014). What Matters Most to the P2P Lending Behavior – Evidence from PPDAI.COM. 2014 International Conference on Economics and Management, 357-361.