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Forecasting Tail Risks
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Cited by:
- Antoine Mandel & Amir Sani, 2017.
"A Machine Learning Approach to the Forecast Combination Puzzle,"
Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers)
halshs-01317974, HAL.
- Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Working Papers halshs-01317974, HAL.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2022.
"Nowcasting tail risk to economic activity at a weekly frequency,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(5), pages 843-866, August.
- Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea, 2021. "Nowcasting Tail Risk to Economic Activity at a Weekly Frequency," CEPR Discussion Papers 16496, C.E.P.R. Discussion Papers.
- Suarez, Javier, 2022. "Growth-at-risk and macroprudential policy design," Journal of Financial Stability, Elsevier, vol. 60(C).
- Jorge E. Galán, 2020. "The benefits are at the tail: uncovering the impact of macroprudential policy on growth-at-risk," Working Papers 2007, Banco de España.
- Mr. Ananthakrishnan Prasad & Mr. Selim A Elekdag & Mr. Phakawa Jeasakul & Romain Lafarguette & Mr. Adrian Alter & Alan Xiaochen Feng & Changchun Wang, 2019. "Growth at Risk: Concept and Application in IMF Country Surveillance," IMF Working Papers 2019/036, International Monetary Fund.
- Aaron J. Amburgey & Michael W. McCracken, 2023.
"On the real‐time predictive content of financial condition indices for growth,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 137-163, March.
- Aaron Amburgey & Michael W. McCracken, 2022. "On the Real-Time Predictive Content of Financial Conditions Indices for Growth," Working Papers 2022-003, Federal Reserve Bank of St. Louis, revised 03 Jun 2022.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2024.
"Investigating Growth-at-Risk Using a Multicountry Nonparametric Quantile Factor Model,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(4), pages 1302-1317, October.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Investigating Growth at Risk Using a Multi-country Non-parametric Quantile Factor Model," Papers 2110.03411, arXiv.org.
- Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2023. "Investigating Growth-at-Risk Using a Multicountry Non-parametric Quantile Factor Model," CEPR Discussion Papers 18549, C.E.P.R. Discussion Papers.
- Todd Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Investigating Growth at Risk Using a Multi-country Non-parametric Quantile Factor Model," Working Papers 2307, University of Strathclyde Business School, Department of Economics.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2024.
"Capturing Macro‐Economic Tail Risks with Bayesian Vector Autoregressions,"
Journal of Money, Credit and Banking, Blackwell Publishing, vol. 56(5), pages 1099-1127, August.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," Working Papers 20-02R, Federal Reserve Bank of Cleveland, revised 22 Sep 2020.
- Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022. "Capturing Macroeconomic Tail Risks with Bayesian Vector Autoregressions," CEPR Discussion Papers 17512, C.E.P.R. Discussion Papers.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2023.
"Tail Forecasting With Multivariate Bayesian Additive Regression Trees,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 979-1022, August.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 21-08R, Federal Reserve Bank of Cleveland, revised 12 Jul 2022.
- Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2022. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," CEPR Discussion Papers 17461, C.E.P.R. Discussion Papers.
- Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2020.
"Forecasting financial stress indices in Korea: a factor model approach,"
Empirical Economics, Springer, vol. 59(6), pages 2859-2898, December.
- Hyeongwoo Kim & Hyun Hak Kim & Wen Shi, 2015. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Working Papers 2015-30, Economic Research Institute, Bank of Korea.
- Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2016. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2016-10, Department of Economics, Auburn University.
- Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2019. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2019-02, Department of Economics, Auburn University.
- Hyeongwoo Kim & Wen Shi & Hyun Hak Kim, 2018. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," Auburn Economics Working Paper Series auwp2018-06, Department of Economics, Auburn University.
- Kim, Hyeongwoo & Shi, Wen & Kim, Hyun Hak, 2018. "Forecasting Financial Stress Indices in Korea: A Factor Model Approach," MPRA Paper 89768, University Library of Munich, Germany.
- Jorge E. Galán & María Rodríguez Moreno, 2020. "At-risk measures and financial stability," Revista de Estabilidad Financiera, Banco de España, issue Autumn.
- Gonzalez Rivera, Gloria & Rodríguez Caballero, Carlos Vladimir, 2021.
"Expecting the unexpected: economic growth under stress,"
DES - Working Papers. Statistics and Econometrics. WS
32148, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Gloria González-Rivera & Carlos Vladimir Rodríguez-Caballero & Esther Ruiz Ortega, 2021. "Expecting the unexpected: economic growth under stress," CREATES Research Papers 2021-06, Department of Economics and Business Economics, Aarhus University.
- Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021. "Expecting the unexpected: economic growth under stress," Working Papers 202106, University of California at Riverside, Department of Economics.
- Joanna Bruzda, 2020. "Multistep quantile forecasts for supply chain and logistics operations: bootstrapping, the GARCH model and quantile regression based approaches," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(1), pages 309-336, March.
- 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.
- Bruzda, Joanna, 2019. "Quantile smoothing in supply chain and logistics forecasting," International Journal of Production Economics, Elsevier, vol. 208(C), pages 122-139.
- Busetti, Fabio & Caivano, Michele & Delle Monache, Davide & Pacella, Claudia, 2021.
"The time-varying risk of Italian GDP,"
Economic Modelling, Elsevier, vol. 101(C).
- Fabio Busetti & Michele Caivano & Davide Delle Monache & Claudia Pacella, 2020. "The time-varying risk of Italian GDP," Temi di discussione (Economic working papers) 1288, Bank of Italy, Economic Research and International Relations Area.
- Piergiorgio Alessandri & Leonardo Del Vecchio & Arianna Miglietta, 2019. "Financial Conditions and 'Growth at Risk' in Italy," Temi di discussione (Economic working papers) 1242, Bank of Italy, Economic Research and International Relations Area.
- Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Working Papers 23-04, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management, revised Nov 2023.
- Jorge E. Galán & María Rodríguez Moreno, 2020. "At-risk measures and financial stability," Financial Stability Review, Banco de España, issue Autumn.
- Jorge E. Galán & María Rodríguez Moreno, 2020.
"At-risk measures and financial stability,"
Financial Stability Review, Banco de España, issue Autumn.
- Jorge E. Galán & María Rodríguez Moreno, 2020. "At-risk measures and financial stability," Revista de Estabilidad Financiera, Banco de España, issue Otoño.
- Acharya, Viral & Bhadury, Soumya & Surti, Jay, 2020.
"Financial Vulnerability and Risks to Growth in Emerging Markets,"
CEPR Discussion Papers
14962, C.E.P.R. Discussion Papers.
- Viral V. Acharya & Soumya Bhadury & Jay Surti, 2020. "Financial Vulnerability and Risks to Growth in Emerging Markets," NBER Working Papers 27411, National Bureau of Economic Research, Inc.
- Tony Chernis & Patrick J. Coe & Shaun P. Vahey, 2023.
"Reassessing the dependence between economic growth and financial conditions since 1973,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(2), pages 260-267, March.
- Tony Chernis & Patrick J. Coe & Shaun P. Vahey, 2022. "Reassessing the dependence between economic growth and financial conditions since 1973," CAMA Working Papers 2022-30, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Efrem Castelnuovo & Lorenzo Mori, 2022.
"Uncertainty, Skewness, and the Business Cycle through the MIDAS Lens,"
CESifo Working Paper Series
10062, CESifo.
- Efrem Castelnuovo & Lorenzo Mori, 2022. "Uncertainty, Skewness and the Business Cycle - Through the MIDAS Lens," CAMA Working Papers 2022-69, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Efrem Castelnuovo & Lorenzo Mori, 2022. "Uncertainty, Skewness, and the Business Cycle Through the MIDAS Lens," "Marco Fanno" Working Papers 0291, Dipartimento di Scienze Economiche "Marco Fanno".
- 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.
- Hafemann, Lucas, 2023. "A house prices at risk approach for the German residential real estate market," Technical Papers 07/2023, Deutsche Bundesbank.
- Mikhail Stolbov & Maria Shchepeleva, 2018. "Systemic risk in Europe: deciphering leading measures, common patterns and real effects," Annals of Finance, Springer, vol. 14(1), pages 49-91, February.
- Philippe Goulet Coulombe & Mikael Frenette & Karin Klieber, 2023. "From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks," Papers 2311.16333, arXiv.org, revised Apr 2024.
- Škrinjarić, Tihana, 2024. "Growth-at-risk for macroprudential policy stance assessment: a survey," Bank of England working papers 1075, Bank of England.
- Deng, Chuang & Wu, Jian, 2023. "Macroeconomic downside risk and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 54(C).
- Salisu, Afees A. & Pierdzioch, Christian & Gupta, Rangan, 2021.
"Geopolitical risk and forecastability of tail risk in the oil market: Evidence from over a century of monthly data,"
Energy, Elsevier, vol. 235(C).
- Afees A. Salisu & Christian Pierdzioch & Rangan Gupta, 2021. "Geopolitical Risk and Forecastability of Tail Risk in the Oil Market: Evidence from Over a Century of Monthly Data," Working Papers 202122, University of Pretoria, Department of Economics.
- Beutel, Johannes & Emter, Lorenz & Metiu, Norbert & Prieto, Esteban & Schüler, Yves, 2022. "The global financial cycle and macroeconomic tail risks," Discussion Papers 43/2022, Deutsche Bundesbank.
- Pfarrhofer, Michael, 2022.
"Modeling tail risks of inflation using unobserved component quantile regressions,"
Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
- Michael Pfarrhofer, 2021. "Modeling tail risks of inflation using unobserved component quantile regressions," Papers 2103.03632, arXiv.org, revised Oct 2021.
- Antoine Mandel & Amir Sani, 2016.
"Learning Time-Varying Forecast Combinations,"
Documents de travail du Centre d'Economie de la Sorbonne
16036, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Antoine Mandel & Amir Sani, 2016. "Learning Time-Varying Forecast Combinations," Documents de travail du Centre d'Economie de la Sorbonne 16036r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Sep 2016.
- Duan, Yuejiao & Goodell, John W. & Li, Haoran & Li, Xinming, 2022. "Assessing machine learning for forecasting economic risk: Evidence from an expanded Chinese financial information set," Finance Research Letters, Elsevier, vol. 46(PA).
- Alexey Vasilenko, 2018. "Systemic Risk and Financial Fragility in the Chinese Economy: A Dynamic Factor Model Approach," Bank of Russia Working Paper Series wps30, Bank of Russia.
- Daniela Arzu & Marcella Lucchetta & Guido Max Mantovani, 2021. "Catch the Heterogeneity: The New Bank-Tailored Integrated Rating," JRFM, MDPI, vol. 14(7), pages 1-25, July.
- Wang, Bo & Li, Haoran, 2021. "Downside risk, financial conditions and systemic risk in China," Pacific-Basin Finance Journal, Elsevier, vol. 68(C).
- Sifat, Imtiaz & Zarei, Alireza & Hosseini, Seyedmehdi & Bouri, Elie, 2022. "Interbank liquidity risk transmission to large emerging markets in crisis periods," International Review of Financial Analysis, Elsevier, vol. 82(C).
- Cabral, Inês & Detken, Carsten & Fell, John & Henry, Jérôme & Hiebert, Paul & Kapadia, Sujit & Pires, Fatima & Salleo, Carmelo & Constâncio, Vítor & Nicoletti Altimari, Sergio, 2019. "Macroprudential policy at the ECB: Institutional framework, strategy, analytical tools and policies," Occasional Paper Series 227, European Central Bank.
- Ignacio Garr'on & C. Vladimir Rodr'iguez-Caballero & Esther Ruiz, 2024. "International vulnerability of inflation," Papers 2410.20628, arXiv.org, revised Oct 2024.
- Garrón Vedia, Ignacio & Rodríguez Caballero, Carlos Vladimir & Ruiz Ortega, Esther, 2024. "International vulnerability of inflation," DES - Working Papers. Statistics and Econometrics. WS 44814, Universidad Carlos III de Madrid. Departamento de EstadÃstica.
- Schick, Manuel, 2024. "Real-time Nowcasting Growth-at-Risk using the Survey of Professional Forecasters," Working Papers 0750, University of Heidelberg, Department of Economics.