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Estimating Probability of Default on Peer to Peer Market – Survival Analysis Approach Cover

Estimating Probability of Default on Peer to Peer Market – Survival Analysis Approach

Open Access
|May 2017

Abstract

Arguably a cornerstone of credit risk modelling is the probability of default. This article aims is to search for the evidence of relationship between loan characteristics and probability of default on peer-to-peer (P2P) market. In line with that, two loan characteristics are analysed: 1) loan term length and 2) loan purpose. The analysis is conducted using survival analysis approach within the vintage framework. Firstly, 12 months probability of default through the cycle is used to compare riskiness of analysed loan characteristics. Secondly, log-rank test is employed in order to compare complete survival period of cohorts. Findings of the paper suggest that there is clear evidence of relationship between analysed loan characteristics and probability of default. Longer term loans are more risky than the shorter term ones and the least risky loans are those used for credit card payoff.

Language: English
Page range: 149 - 167
Submitted on: Sep 18, 2016
Accepted on: Jan 21, 2017
Published on: May 22, 2017
Published by: Central Bank of Montenegro
In partnership with: Paradigm Publishing Services
Publication frequency: 3 issues per year

© 2017 Andrija Đurović, published by Central Bank of Montenegro
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.