How Bad Can Financial Crises Be? A GDP Tail Risk Assessment for Portugal
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References listed on IDEAS
- Lang, Jan Hannes & Forletta, Marco, 2020. "Cyclical systemic risk and downside risks to bank profitability," Working Paper Series 2405, European Central Bank.
- Duprey, Thibaut & Klaus, Benjamin & Peltonen, Tuomas, 2017.
"Dating systemic financial stress episodes in the EU countries,"
Journal of Financial Stability, Elsevier, vol. 32(C), pages 30-56.
- Peltonen, Tuomas A. & Klaus, Benjamin & Duprey, Thibaut, 2015. "Dating systemic financial stress episodes in the EU countries," Working Paper Series 1873, European Central Bank.
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- Lang, Jan Hannes & Izzo, Cosimo & Fahr, Stephan & Ruzicka, Josef, 2019. "Anticipating the bust: a new cyclical systemic risk indicator to assess the likelihood and severity of financial crises," Occasional Paper Series 219, European Central Bank.
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Cited by:
- Tihana Skrinjaric & Maja Sabol, 2024.
"Easier Said than Done: Predicting Downside Risks to House Prices in Croatia,"
Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 74(1), pages 43-72, March.
- Tihana Škrinjarić & Maja Sabol, 2023. "Easier said than done: Predicting downside risks to house prices in Croatia," Working Papers 73, The Croatian National Bank, Croatia.
- Škrinjarić, Tihana, 2024. "Growth-at-risk for macroprudential policy stance assessment: a survey," Bank of England working papers 1075, Bank of England.
- Tihana Skrinjaric, 2023. "Introducing a composite indicator of cyclical systemic risk in Croatia: possibilities and limitations," Public Sector Economics, Institute of Public Finance, vol. 47(1), pages 1-39.
- Tihana Škrinjarić, 2023. "Macroprudential stance assessment: problems of measurement, literature review and some comments for the case of Croatia," Working Papers 72, The Croatian National Bank, Croatia.
- Ivan De Lorenzo Buratta, 2022. "Mind the Build-up: Quantifying Tail Risks for Credit Growth in Portugal," Working Papers w202207, Banco de Portugal, Economics and Research Department.
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More about this item
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
- E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- G01 - Financial Economics - - General - - - Financial Crises
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FDG-2022-06-27 (Financial Development and Growth)
- NEP-MAC-2022-06-27 (Macroeconomics)
- NEP-RMG-2022-06-27 (Risk Management)
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