Integration of factor analysis and Tsukamoto’s fuzzy logic method for quality control of credit provisions in rural banks [PDF]
Giving credit to debtors can pose a default risk. This risk arises because of an error in analyzing the credit risk rate of the debtor. Therefore, this study aims to design a framework for analyzing the credit risk rate of debtors so that the ...
Yuyun Hidayat +6 more
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Types of Credit Risks and Strategies to Improve Risk Identification by Internet of Intelligences [PDF]
Today, people mainly consider credit risks from view of powerful players. The role of the Internet in the credit risk management is not fully. In this paper, we have a comprehensive look at the credit risks, so that, suggest two concepts: binary credit ...
Chongfu Huang
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Corporate Bond Pricing Model with Interaction between Liquidity and Credit Risk
This study derives a liquidity and credit risk-adjusted capital asset pricing model and investigates the model using the data set in China's corporate bond market.
Zijian Wu, Baochen Yang, Yunpeng Su
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CREDIT RISK MANAGEMENT CONTROL ON SME SEGMENT: STUDY CASE OF XYZ BANK BRANCH SURABAYA
The study is conducted to explain the suitability of credit risk control management to minimize the non-performing loans at XYZ Bank Branch Surabaya as stipulated by the Basel Accord Committee in Financial Services Authority Regulation No.
Ludmila Mayasari +4 more
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Dependence of Stock Returns in Bull and Bear Markets
Despite of its many shortcomings, Pearson’s rho is often used as an association measure for stock returns. A conditional version of Spearman’s rho is suggested as an alternative measure of association. This approach is purely nonparametric and avoids any
Dobric Jadran +2 more
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Applications of Skew Models Using Generalized Logistic Distribution
We use the skew distribution generation procedure proposed by Azzalini [Scand. J. Stat., 1985, 12, 171–178] to create three new probability distribution functions.
Pushpa Narayan Rathie +2 more
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An optimised credit scorecard to enhance cut-off score determination
Background: Credit scoring is a statistical tool allowing banks to distinguish between good and bad clients. However, literature in the world of credit scoring is limited. In this article parametric and non-parametric statistical techniques that are used
Nico Kritzinger, Gary W. van Vuuren
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Double-Layer Network Model of Bank-Enterprise Counterparty Credit Risk Contagion
Banks and enterprises constitute a multilayered, multiattribute, multicriteria credit-related super network due to financial transaction behaviors, such as credit, wealth management, savings, and derivatives.
Tingqiang Chen +3 more
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Research on Contagion and the Influencing Factors of Personal Credit Risk based on a Complex Network
With the digital transformation of commercial banks and the online transfer of credit transactions, the relationship between credit subjects tends to be complex, and personal credit risk management is facing challenges.
Xin Sui +3 more
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Review of Research on Credit Risk Management for Rural Credit Cooperatives [PDF]
With the rapid development of rural micro-credit, whether the "agriculture, rural areas and farmers" problems have been effectively solved, whether the credit risk has been effectively controlled, these have become the focus of our attention to the rural
Xin Song, Li Li, Lei Xiao
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