Results 21 to 30 of about 8,808,649 (394)
Trade Heterogeneity in the EU: Insights from the Emergence of COVID-19 Using Time Series Clustering
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie, 2021 Objective: The objective of the paper is to analyse segmentation of EU-27 countries based on quarterly growth rates of exports and imports by using time series clustering.
Dwijendra Nath Dwivedi, Abhishek Anand
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Journal of Risk and Financial Management, 2023 In recent years, after the global financial crisis, the issue of credit risk management has received increased attention from international regulators. Credit risk management frameworks are often not sufficiently integrated within the organization, there
Tribhuwan Kumar Bhatt +3 more
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Machine learning-driven credit risk: a systemic review
Neural computing & applications (Print), 2022 Credit risk assessment is at the core of modern economies. Traditionally, it is measured by statistical methods and manual auditing. Recent advances in financial artificial intelligence stemmed from a new wave of machine learning (ML)-driven credit risk ...
Si Shi +4 more
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Credit contagion and credit risk [PDF]
Quantitative Finance, 2009 11 pages, 3 ...
Hatchett, J. P. L., Kuehn, R.
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International Journal of Financial Studies, 2021 In banking and finance, credit risk is among the important topics because the process of issuing a loan requires a lot of attention to assessing the possibilities of getting the loaned money back.
David Mhlanga
semanticscholar +1 more source
Annals of Operations Research, 2021 Credit risk imposes itself as a significant barrier of agriculture 4.0 investments in the supply chain finance (SCF) especially for Small and Medium-sized Enterprises.
Amine Belhadi +4 more
semanticscholar +1 more source
Model risk on credit risk [PDF]
Risk and Decision Analysis, 2016 This paper develops the Jungle model in a credit portfolio framework. The Jungle model is able to model credit contagion, produce doubly-peaked probability distributions for the total default loss and endogenously generate quasi phase transitions, potentially leading to systemic credit events which happen unexpectedly and without an underlying single ...
Molins, J. +1 more
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SSRN Electronic Journal, 2020 What is the impact of granular credit risk on banks and on the economy? We provide the first causal identification of single-name counterparty exposure risk in bank portfolios by applying a new empirical approach on an administrative matched bank-firm dataset from Norway. Exploiting the fat tail properties of the loan share distribution we use a Gabaix
Rustam Jamilov +5 more
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Economic Growth Patterns: Spatial Econometric Analysis for Russian Regions
Information, 2020 In this article, we analyze the σ - and β -convergence, using the data of the socio-economic development of Russian areas, and discover the role of spatial autocorrelation in regional economic development.
Vladimir Balash +3 more
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Managing Credit Risk with Credit Derivatives [PDF]
SSRN Electronic Journal, 2005 Credit risk is one of the most important forms of risk faced by national and international banks as financial intermediaries. Managing this kind of risk through selecting and monitoring corporate and sovereign borrowers and through creating a diversified loan portfolio has always been one of the predominant challenges in bank management. The aim of our
UDO BROLL +2 more
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