Success Factors in Peer-to-Business (P2B) Crowdlending: A Predictive Approach

IEEE Access

Emma Berenguer¹  Antonio-M. Moreno-Moreno²  Carlos Sanchis-Pedregosa² 

[1] Department of Financial Economics and Accounting, Pablo de Olavide University, Sevilla, Spain;Department of Financial Economy and Operations Management, Universidad de Sevilla, Sevilla, Spain;

关键词: Crowdfunding;    crowdlending;    institutional lenders;    logistic regression;    non-professional lenders;    peer-to-business (P2B);   

DOI  :  10.1109/ACCESS.2019.2946858

来源: DOAJ

【 摘 要 】

Peer-to-Business (P2B) crowdlending is gaining importance among companies seeking funding. However, not all projects get the same take-up by the crowd. Thus, this study aims to determine the key factors that drive non-professional investors to choose a given loan in an online environment. To this purpose, we have analyzed 243 crowdlending campaigns on October.eu platform. We have obtained a series of variables from the analyzed loans using logistic regression. Results indicate that loan amount, loan term and overall credit rating are the key predictors of non-professional lender P2B crowdlending success. These findings may be useful for predicting whether the crowd will subscribe to a loan request or not. This information would help businesses to modify specific loan characteristics (if possible) to make their loans more attractive or could even lead companies to consider a different financial option. It could also help platforms select and adapt project parameters to secure their success.

【 授权许可】

Unknown