GLOBAL PEER-TO-PEER LENDING MARKET

GLOBAL PEER-TO-PEER LENDING MARKET

Purpose- The purpose of this study is to elaborate the current impressive standing of the market in order to pave the way for future academic work. Methodology- The study employs primary data analysis of the P2P lending market. Also a detailed update literature analysis is realized. Findings- The analysis reveals that the financial conditions prevailing in global markets also contributed to the growth of P2P lending sector in the past. The low interest rate environment since the global financial crisis of 2007-2008 made P2P lending as a better alternative for small investors looking for higher yields. Conclusion- It t may be concluded that the P2P market lending will be a fruitful area of financial research in the future especially in the fiesld of the credit assessment procedures, default tendency analysis and regulatory struturings of the regional markets.

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  • Allied Crowds (2016). Developing world crowdfunding aid through crowdfunding, monthly report, September, available athttps://cdn.filestackcontent.com/ cBCiXTgNRmWjige4OnW8
  • Arner, D. W., Barberis, J.N. & Buckley, R.P. (2015). The evolution of fintech: a new post-crisis paradigm? University of Hong Kong Faculty of Law Research Paper No. 2015/047, UNSW.
  • Bachmann, A., Becker, A. & Buerckner, D. (2015). Online peer-to-peer lending – a literature review. Journal of Internet Banking and Commerce, 16(2), 1–18.
  • Basha, S., Elgammal, M.M. and Abuzayed, B.M. (2021) Online peer-to-peer lending: A review of the literature. Electronic Commerce Research and Applications, V. 48, No. C.
  • Caglayan, M., Pham, T., Talavera, O. and Xiongd, X (2020) Asset mispricing in peer-to-peer loan secondary markets. Journal of Corporate Finance, 65, 234-245.
  • Chen, S., Gu, Y., Liu, Q and YiumanTse, Y. (2020) How do lenders evaluate borrowers in peer-to-peer lending in China? International Review of Economics & Finance, 69, 651-662
  • Chen, Q., Li, J. W., Liu, J. G., Han, J. T., Shi, Y., & Guo, X. H. (2020). Borrower learning effects: do prior experiences promote continuous successes in peer-to-peer lending? Information Systems Frontiers, 23, 963–986.
  • Chen, X., Hu, X., & Ben, S. (2020). How do reputation, structure design and FinTech ecosystem affect the net cash inflow of P2P lending
  • platforms? Evidence from China. Electronic Commerce Research, 21, 1055–1082.
  • Chen, Y.R., Leu, J.S., Sheng-An Huang, S.A., Wang, J.T. and Takada, J.I. (2021) Predicting default risk on peer-to-peer lending imbalanced datasets, IEEE Access, 9.
  • Cumming, D. and Hornuf, L. (2020) Marketplace lending of small- and medium-sized enterprises. Strategic Entrepreneurship Journal 16, 32–66.
  • EBA (2015). Opinion of the european banking authority on lending-based crowdfunding, European Banking Authority, EBA-Op-2015-03.
  • Field, A. (2009). Discovering statistics using SPSS 3rd ed. Thousand Oaks, California: SAGE Pub.
  • Jacksi K. (2015). Design and implementation of online submission and peer review system: a case study of e-journal of University of Zakho. International Journal of Scientific & Technology Research, 4(8), 83-85.
  • Käfer, B. (2016). Peer to peer lending: A (financial stability) risk perspective, Working Paper MAGKS Joint Discussion Paper Series in Economics. 22.
  • Katsamakas, E., Sánchez-Cartas, J.M. (2022). Network formation and financial inclusion in p2p lending: a computational model. Systems 2022, 10(5), 155- 169.
  • Kirby, E., Worner, S. (2014). Crowd-funding: an infant industry growing fast, Staff Working Paper of the IOSCO Research Department.
  • Milne, A.K.L., Parboteeah, P. (2016). The business models and economics of peer-to-peer lending. ECRI Research Report, 2016, No 17, Available at SSRN: https://ssrn.com/abstract=2763682 or http://dx.doi.org/10.2139/ssrn.2763682
  • Norusis, M. J. (1993). SPSS for windows: professional statics. Release 6.0, Chicago: SPSS Inc.
  • Nunnally, J. C. (1978). Psychometric Theory (2nd ed.), New York: McGraw-Hill.
  • Omarini, E. (2018) Peer-to-peer lending: business model analysis and the platform dilemma.
  • Turguttopbas, N. (2022). Peer-To-Peer lending in US and China: a guide for emerging market countries. Universal Journal of Finance and Economics, 2(1), 16–30.
  • Xu, J., Lu, Z. & Xie, Y. (2021). Loan default prediction of chinese p2p market: a machine learning methodology. Scientific Reports, V. 11, 18759.
  • Wang, H., Gang Kou & Yi Peng. 2021. Multi-class misclassification cost matrix for credit ratings in peer-to-peer lending. Journal of the Operational Research Society, 72, 923–934.
  • Yeo, E., Jooyong Jun, J. (2020) Peer-to-Peer Lending and Bank Risks: A Closer Look. Sustainability, 12, 6107.