Markov chain lumpability and applications to credit risk modelling in compliance with the International Financial Reporting Standard 9 framework

Author:

Georgiou K.ORCID,Domazakis G.N.,Pappas D.ORCID,Yannacopoulos A.N.

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference29 articles.

1. Pricing credit derivatives with rating transitions;Acharya;Financial Analysts Journal,2019

2. An eigenvector condition for Markov chain lumpability;Barr;Operations Research,1977

3. Dykstras alternating projection algorithm for two sets;Bauschke;Journal of Approximation Theory,1994

4. Fixed-point algorithms for inverse problems in science and engineering;Bauschke,2011

5. Credit risk according to IFRS 9: Significant increase in credit risk and implications for financial institutions;Beerbaum;Sammar, Credit Risk According to IFRS,2015

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep neural networks for probability of default modelling;Journal of Industrial and Management Optimization;2024

2. Aggregation and Establishment of Onerous Contracts as Required by IFRS17 Based on a Stochastic Matrix and the Lumpability Concept of a Markov Chain;Journal of Financial Risk Management;2024

3. Reconstruction Optimization of Economic Operation of Distribution Network Based on Data Mining Algorithm;2023 IEEE 4th Annual Flagship India Council International Subsections Conference (INDISCON);2023-08-05

4. Financial and Economic Risk Security Early Warning System Based on BP Neural Network Algorithm;2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2023-04-29

5. A Financial Risk Network Assessment Model Based on Artificial Intelligence and Machine Learning;2022 International Conference on Knowledge Engineering and Communication Systems (ICKES);2022-12-28

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3