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Determinants of Default in Lithuanian Peer-To-Peer Platforms

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  • Gaigalienė Asta

    (PhD, associate professor at Finance Department, Faculty of Economics and Management, Vytautas Magnus University, Lithuania. S. Daukanto str. 28, LT-44248, Kaunas, Lithuania. Phone: +370 37 327856.)

  • Česnys Dovydas

    (MBA from Vytautas Magnus University, graduate student of the Faculty of Economics and Management. S. Daukanto str. 28, Kaunas, Lithuania.)

Abstract

The article analyses the factors that determine the probability of debtors’ default in the Lithuanian peer-to-peer market. The results of this study are compared with previous research.

Suggested Citation

  • Gaigalienė Asta & Česnys Dovydas, 2018. "Determinants of Default in Lithuanian Peer-To-Peer Platforms," Management of Organizations: Systematic Research, Sciendo, vol. 80(1), pages 19-36, December.
    • Handle: RePEc:vrs:morgsr:v:80:y:2018:i:1:p:19-36:n:2
    DOI: 10.1515/mosr-2018-0011
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    References listed on IDEAS

    as
    1. Guo, Yanhong & Zhou, Wenjun & Luo, Chunyu & Liu, Chuanren & Xiong, Hui, 2016. "Instance-based credit risk assessment for investment decisions in P2P lending," European Journal of Operational Research, Elsevier, vol. 249(2), pages 417-426.
    2. 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.
    3. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto & Luz López-Palacios, 2015. "Determinants of Default in P2P Lending," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
    4. Xuchen Lin & Xiaolong Li & Zhong Zheng, 2017. "Evaluating borrower’s default risk in peer-to-peer lending: evidence from a lending platform in China," Applied Economics, Taylor & Francis Journals, vol. 49(35), pages 3538-3545, July.
    5. Freedman, Seth & Jin, Ginger Zhe, 2017. "The information value of online social networks: Lessons from peer-to-peer lending," International Journal of Industrial Organization, Elsevier, vol. 51(C), pages 185-222.
    6. Milne, Alistair & Parboteeah, Paul, 2016. "The Business Models and Economics of Peer-to-Peer Lending," ECRI Papers 11594, Centre for European Policy Studies.
    7. Yi Liu & Quanli Zhou & Xuan Zhao & Yudong Wang, 2018. "Can Listing Information Indicate Borrower Credit Risk in Online Peer-to-Peer Lending?," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(13), pages 2982-2994, October.
    8. 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.
    9. 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.
    10. Frederick J. Riggins & David M. Weber, 2017. "Information asymmetries and identification bias in P2P social microlending," Information Technology for Development, Taylor & Francis Journals, vol. 23(1), pages 107-126, January.
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