TY - JOUR
T1 - How low can you go? - Overcoming lender inability to set proper interest rates on unsecured peer-to-peer lending markets
AU - Mild, Andreas
AU - Wöckl, Jürgen
AU - Waitz, Martin
PY - 2015
Y1 - 2015
N2 - The lending of money is traditionally handled by banking institutions. The internet has enabled new forms of credit businesses, challenging the classical bank loan. Peer-to-peer lending markets bring together noninstitutional borrowers and lenders. In a typical lending market, borrowers have to present their projects, and lenders decide under what terms they are prepared to provide the requested capital. As many loans are not secured by collateral, the assessment of the creditworthiness of the borrower is the most important task. Wedemonstrate that investors fail to transform the available information into proper market activities in the absence of hard, quantifiable banking data, threatening the sustainability of this new lending concept. We present a decision-support-tool to support users in the estimation of risk of default. Based on an a-posteriori analysis, we demonstrate that our system is able to price the risk of default adequately and is able to improve investors' return significantly.
AB - The lending of money is traditionally handled by banking institutions. The internet has enabled new forms of credit businesses, challenging the classical bank loan. Peer-to-peer lending markets bring together noninstitutional borrowers and lenders. In a typical lending market, borrowers have to present their projects, and lenders decide under what terms they are prepared to provide the requested capital. As many loans are not secured by collateral, the assessment of the creditworthiness of the borrower is the most important task. Wedemonstrate that investors fail to transform the available information into proper market activities in the absence of hard, quantifiable banking data, threatening the sustainability of this new lending concept. We present a decision-support-tool to support users in the estimation of risk of default. Based on an a-posteriori analysis, we demonstrate that our system is able to price the risk of default adequately and is able to improve investors' return significantly.
U2 - 10.1016/j.jbusres.2014.11.021
DO - 10.1016/j.jbusres.2014.11.021
M3 - Journal article
SN - 0148-2963
VL - 68
SP - 1291
EP - 1305
JO - Journal of Business Research
JF - Journal of Business Research
ER -