Description-text related soft information in peer-to-peer lending - Evidence from two leading European platforms

Dorfleitner, Gregor and Priberny, Christopher and Schuster, Stephanie and Stoiber, Johannes and Weber, Martina and de Castro, Ivan and Kammler, Julia (2016) Description-text related soft information in peer-to-peer lending - Evidence from two leading European platforms. JOURNAL OF BANKING & FINANCE, 64. pp. 169-187. ISSN 0378-4266, 1872-6372

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Abstract

We examine the relation of soft factors that are derived from the description texts to the probability of successful funding and to the default probability in peer-to-peer lending for two leading European platforms. We find that spelling errors, text length and the mentioning of positive emotion evoking keywords predict the funding probability on the less restrictive of both platforms, which even accepts applications without credit scores. This platform also shows a better risk-return profile. Conditional on being funded, text-related factors hardly predict default probabilities in peer-to-peer lending for both platforms. (C) 2015 Elsevier B.V. All rights reserved.

Item Type: Article
Uncontrolled Keywords: DISCRIMINATION; DISCLOSURES; BEHAVIOR; ERRORS; Peer-to-peer lending; Soft information; Funding probability; Probability of default
Subjects: 600 Technology > 650 Management & auxiliary services
Divisions: Business, Economics and Information Systems > Institut für Betriebswirtschaftslehre > Lehrstuhl für Finanzierung (Prof. Dr. Gregor Dorfleitner)
Depositing User: Dr. Gernot Deinzer
Date Deposited: 11 Mar 2019 13:55
Last Modified: 11 Mar 2019 13:55
URI: https://pred.uni-regensburg.de/id/eprint/2354

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