Macro stress testing the U.S. banking system
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DOI: 10.1016/j.intfin.2017.12.006
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Cited by:
- Elnahass, Marwa & Trinh, Vu Quang & Li, Teng, 2021. "Global banking stability in the shadow of Covid-19 outbreak," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
- Haithem Awijen & Younes Ben Zaied & Ahmed Imran Hunjra, 2023. "Systematic and Unsystematic Determinants of Sectoral Risk Default Interconnectedness," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 561-587, August.
- Bonucchi, Manuel & Catalano, Michele, 2022. "How severe are the EBA macroeconomic scenarios for the Italian Economy? A joint probability approach," Journal of International Money and Finance, Elsevier, vol. 129(C).
- Wang, Zheqi & Crook, Jonathan & Andreeva, Galina, 2020. "Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default," European Journal of Operational Research, Elsevier, vol. 287(2), pages 725-738.
- Pancotto, Livia & ap Gwilym, Owain & Williams, Jonathan, 2024. "The evolution and determinants of the non-performing loan burden in Italian banking," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
- Chen, Ruoyu & Iqbal, Najaf & Irfan, Muhammad & Shahzad, Farrukh & Fareed, Zeeshan, 2022. "Does financial stress wreak havoc on banking, insurance, oil, and gold markets? New empirics from the extended joint connectedness of TVP-VAR model," Resources Policy, Elsevier, vol. 77(C).
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More about this item
Keywords
Macro stress tests; Additive semi-parametric quantiles; Non-performing loans; Simulations; Probability of default;All these keywords.
JEL classification:
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
Statistics
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