Results 1 to 10 of about 391,471 (255)

One-factor model for default rates by loan type [PDF]

open access: yesBankarstvo, 2021
This paper investigates the link between default rates by loan types and the systemic credit risk component. This link is described by a linear model that combines systemic and idiosyncratic contributions.
Božović Miloš
doaj   +1 more source

ESTIMATING THE DETERMINANTS OF VEHICLE LOAN DEFAULT IN MALAYSIA: AN EXPLORATORY STUDY

open access: yesInternational Journal of Management Studies, 2017
As revealed by Malaysia’s bankruptcy statistics, around a quarter of bankruptcy in Malaysia is due to default of vehicle loan. This has led to the tightening up of vehicle loan underwriting and increased vehicle loan rejection rates.
Hock-Eam Lim, Siew Goh Yeok
doaj   +3 more sources

National student loans default risk prediction: A heterogeneous ensemble learning approach and the SHAP method

open access: yesComputers and Education: Artificial Intelligence, 2023
National student loans are crucial for ensuring that economically disadvantaged students are able to complete their education successfully, however, the high default rate and excessive demand associated with these loans pose significant risks to various ...
Yuan Wang   +5 more
doaj   +1 more source

Evaluating borrowers' default risk with a spatial probit model reflecting the distance in their relational network.

open access: yesPLoS ONE, 2021
Potential relationship among loan applicants can provide valuable information for evaluating default risk. However, most of the existing credit scoring models either ignore this relationship or consider a simple connection information.
Jong Wook Lee, So Young Sohn
doaj   +2 more sources

The Study of Risk-Weighted Assets on the Effects of Loan Exposure Valuation towards Credit Default (an empirical study on middle and top local banks listed in Indonesia stock exchange period 2008–2012)

open access: yesCopernican Journal of Finance & Accounting, 2015
This study aims at investigating and testing the mediated effect of risk-weighted assets on the effects of loan exposure valuation towards credit default at the local banks listed in Indonesian Stock Exchange from the period of 2008 to 2012.
Tigor Sitorus
doaj   +3 more sources

Determinants of Default Probability for Audited and Unaudited SMEs under Stressed Conditions in Zimbabwe

open access: yesEconomies, 2022
Using stepwise logistic regression models, the study aims to separately detect and explain the determinants of default probability for unaudited and audited small-to-medium enterprises (SMEs) under stressed conditions in Zimbabwe.
Frank Ranganai Matenda, Mabutho Sibanda
doaj   +1 more source

Prediksi Kelalaian Pinjaman Bank Menggunakan Random Forest dan Adaptive Boosting

open access: yesJuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2020
— A loan is one of the most important products on the bank, which used for main revenue. All bank tries to find the most effective business strategy to persuade a customer to use the loan, but loan default has a negative effect after the application is ...
Joseph Sanjaya   +4 more
doaj   +1 more source

PENGARUH EVALUASI KREDIT DAN PENGAWASAN KREDIT TERHADAP RISIKO KREDIT MACET

open access: yesJournal of Management Small and Medium Enterprises (SME's), 2022
The research background is risk of the loan credit which is the one problem which inseperable from the operations system in credit service unions in district Oebobo of Kupang City.
Antonius Yohanes William Timuneno
doaj   +1 more source

MCDM approach to evaluating bank loan default models

open access: yesTechnological and Economic Development of Economy, 2014
Banks and financial institutions rely on loan default prediction models in credit risk management. An important yet challenging task in developing and applying default classification models is model evaluation and selection.
Gang Kou, Yi Peng, Chen Lu
doaj   +1 more source

Determinants of Borrowers’ Default in P2P Lending under Consideration of the Loan Risk Class

open access: yesGames, 2018
We study the determinants of borrowers’ default in P2P lending with a new data set consisting of 70,673 loan observations from the Lending Club. Previous research identified a number of default determining variables but did not distinguish between ...
Michal Polena, Tobias Regner
doaj   +1 more source

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