A multi-factor, credit migration model for sovereign and corporate debts
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Citations
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Cited by:
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- Guglielmo D'Amico & Filippo Petroni & Philippe Regnault & Stefania Scocchera & Loriano Storchi, 2019. "A copula based Markov Reward approach to the credit spread in European Union," Papers 1902.00691, arXiv.org.
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- Fuertes, Ana-Maria & Kalotychou, Elena, 2007.
"On sovereign credit migration: A study of alternative estimators and rating dynamics,"
Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3448-3469, April.
- Elena Kalotychou & Ana-Maria Fuertes, 2006. "On Sovereign Credit Migration: A Study of Alternative Estimators and Rating Dynamics," Computing in Economics and Finance 2006 509, Society for Computational Economics.
- 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.
- Stefan Truck, 2008. "Forecasting credit migration matrices with business cycle effects—a model comparison," The European Journal of Finance, Taylor & Francis Journals, vol. 14(5), pages 359-379.
- Tamás Kristóf, 2021. "Sovereign Default Forecasting in the Era of the COVID-19 Crisis," JRFM, MDPI, vol. 14(10), pages 1-24, October.
- Rui Pedro Brito & Pedro Alarcão Judice, 2021. "Efficient credit portfolios under IFRS 9," CeBER Working Papers 2021-07, Centre for Business and Economics Research (CeBER), University of Coimbra.
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