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30.001  Articles
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The most important area of work for financial market regulators, including the International Accounting Standards Board, is the clarification of the metrics of credit assessment. At the time of the financial crisis of 2008, credit losses on financial inst... see more

 Project financing is one of the priority tools for stimulating the country's economic growth around the world, which allows the implementation of large-scale and capital-intensive projects, providing favorable credit conditions with insufficient cre... see more

This work is the next step in the research project of various authors in modeling credit risk for Russian banks, taking into account the requirements of IFRS 9. This standard has been implemented all over the world since January 1, 2018 (including in the ... see more

Credit risk is a risk that is often encountered by banks in lending, especially mortgages. Banks can get losses if the risk is not anticipated properly. The purpose of this study is to estimate the number of losses (expected loss and unexpected loss) obta... see more

The proposed risk sensitive minimum requirements of the new Basel capital accord have raised concerns about possible (acceleration of) procyclical behaviour of banking, which might threaten macroeconomic stability. This artic... see more

Allowance for impairment losses are reserves that must be formed by the Bank to face the risk of loss due to investment. The purpose of this study is to compare PSAK 55 and 71 about financial instruments and recognition, measurement, especially about impa... see more

The Basel regulatory credit risk rules for expected losses require banks use downturn loss given default (LGD) estimates because the correlation between the probability of default (PD) and LGD is not captured, even though this has been repeatedly demonstr... see more

Identify and measure credit risk by using a method in accordance with the characteristics of finance companies is one of a prudent first step in minimizing potential losses. Potential losses can be seen from the Non Performing Loan (NPL) and recovery rate... see more

Credit risk assessment is of paramount importance in the financial industry. Machine learning techniques have been used successfully over the last two decades to predict the probability of loan default (PD). This way, credit decisions can be automated and... see more

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