How Useful are Regime-Switching Models in Banking Crises Identification?
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Cited by:
- Tchana Tchana, Fulbert, 2014.
"The empirics of banking regulation,"
Emerging Markets Review, Elsevier, vol. 19(C), pages 49-76.
- TCHANA TCHANA, Fulbert, 2008. "The Empirics of Banking Regulation," MPRA Paper 9299, University Library of Munich, Germany.
- Cyril May & Greg Farrell & Jannie Rossouw, 2017. "Do monetary policy announcements affect foreign exchange returns and volatility? Some evidence from high-frequency intra-day South African data," Working Papers 128, Economic Research Southern Africa.
- Imen Bedoui-Belghith & Slaheddine Hallara & Faouzi Jilani, 2023. "Crisis transmission degree measurement under crisis propagation model," SN Business & Economics, Springer, vol. 3(1), pages 1-27, January.
- Jutasompakorn, Pearpilai & Brooks, Robert & Brown, Christine & Treepongkaruna, Sirimon, 2014. "Banking crises: Identifying dates and determinants," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 32(C), pages 150-166.
- Milan Šimáček, 2012. "Indexy finančního stresu pro Českou republiku a Maďarsko [Financial Stress Indexes for the Czech Republic and Hungary]," Politická ekonomie, Prague University of Economics and Business, vol. 2012(5), pages 614-634.
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Keywords
Markov-switching model; choice of crisis threshold; banking crises identification;All these keywords.
JEL classification:
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
- C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
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