Early Warning System for Debt Group Migration: The Case of One Commercial Bank in Vietnam
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DOI: 10.2478/fman-2024-0012
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References listed on IDEAS
- Kwon, Yujin & Park, Sung Y., 2023. "Modeling an early warning system for household debt risk in Korea: A simple deep learning approach," Journal of Asian Economics, Elsevier, vol. 84(C).
- Kim, Yoonseong & Sohn, So Young, 2008. "Random effects model for credit rating transitions," European Journal of Operational Research, Elsevier, vol. 184(2), pages 561-573, January.
- Figlewski, Stephen & Frydman, Halina & Liang, Weijian, 2012. "Modeling the effect of macroeconomic factors on corporate default and credit rating transitions," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 87-105.
- Forster, Jonathan J. & Buzzacchi, Matteo & Sudjianto, Agus & Nagao, Risa, 2016. "Modelling credit grade migration in large portfolios using cumulative t-link transition models," European Journal of Operational Research, Elsevier, vol. 254(3), pages 977-984.
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More about this item
Keywords
machine learning models; debt group migration; B score; C score; model parameters tuning;All these keywords.
JEL classification:
- E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
- E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
- G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
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