A new mixture cure model under competing risks to score online consumer loans-Reference-Cited by-同舟云学术

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A new mixture cure model under competing risks to score online consumer loans

Published:2019-01-18 Issue:7 Volume:19 Page:1243-1253
ISSN:1469-7688
Container-title:Quantitative Finance
language:en
Short-container-title:Quantitative Finance

Author:

Zhang Nailong¹,Yang Qingyu²,Kelleher Aidan³,Si Wujun⁴

Affiliation:

1. Massachusetts Mutual Life Insurance Company, 60 Madison Ave, New York, NY, USA

2. Industrial & Systems Engineering Dept., Wayne State University, Detroit, MI, USA

3. Nexlend Capital Partners, 420 Lexington Ave, New York, NY, USA

4. Industrial, Systems & Manufacturing Engineering Dept., Wichita State University, Wichita, KS, USA

Publisher

Informa UK Limited

Subject

General Economics, Econometrics and Finance,Finance

Link

https://www.tandfonline.com/doi/pdf/10.1080/14697688.2018.1552791

Reference30 articles.

1. Neural network survival analysis for personal loan data

2. Not if but when will borrowers default

3. Credit scoring with macroeconomic variables using survival analysis

4. Generating survival times to simulate Cox proportional hazards models

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1. Predicting the cure of a defaulted company: Nonlinear relationships between loan-related variables and the cure probability;Research in International Business and Finance;2024-06

2. The Deep Promotion Time Cure Model;IEEE Transactions on Neural Networks and Learning Systems;2024

3. Analisis Yuridis Peran OJK dalam Melakukan Perlindungan Hukum Korban Pinjaman Online Berdasarkan Peraturan Otoritas Jasa Keuangan Nomor 77/Pojk.1/2016;Journal of Contemporary Law Studies;2023-11-16

4. Prepayment and credit utilization in peer-to-peer lending;Managerial Finance;2023-06-12

5. The profitability of online loans: A competing risks analysis on default and prepayment;European Journal of Operational Research;2023-04

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