Andrea De Polis
Personal Details
First Name: | Andrea |
Middle Name: | |
Last Name: | De Polis |
Suffix: | |
RePEc Short-ID: | pde1462 |
[This author has chosen not to make the email address public] | |
https://andreadepolis.github.io | |
Affiliation
Warwick Business School
University of Warwick
Coventry, United Kingdomhttp://www.wbs.ac.uk/
RePEc:edi:wbswauk (more details at EDIRC)
Research output
Jump to: Working papers ArticlesWorking papers
- Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021.
"Modeling and forecasting macroeconomic downside risk,"
Temi di discussione (Economic working papers)
1324, Bank of Italy, Economic Research and International Relations Area.
- Davide Delle Monache & Andrea De Polis & Ivan Petrella, 2024. "Modeling and Forecasting Macroeconomic Downside Risk," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 1010-1025, July.
- Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2022. "Modeling and Forecasting Macroeconomic Downside Risk," CEPR Discussion Papers 15109, C.E.P.R. Discussion Papers.
- Andrea De Polis & Mario Pietrunti, 2019.
"Exchange rate dynamics and unconventional monetary policies: it�s all in the shadows,"
Temi di discussione (Economic working papers)
1231, Bank of Italy, Economic Research and International Relations Area.
repec:wrk:wrkemf:34 is not listed on IDEAS
Articles
- Matteo Taroni & Giorgio Vocalelli & Andrea De Polis, 2021. "Gutenberg–Richter B-Value Time Series Forecasting: A Weighted Likelihood Approach," Forecasting, MDPI, vol. 3(3), pages 1-9, August.
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2021.
"Modeling and forecasting macroeconomic downside risk,"
Temi di discussione (Economic working papers)
1324, Bank of Italy, Economic Research and International Relations Area.
- Davide Delle Monache & Andrea De Polis & Ivan Petrella, 2024. "Modeling and Forecasting Macroeconomic Downside Risk," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(3), pages 1010-1025, July.
- Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2022. "Modeling and Forecasting Macroeconomic Downside Risk," CEPR Discussion Papers 15109, C.E.P.R. Discussion Papers.
Cited by:
- 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.
- Simon Lloyd & Ed Manuel & Konstantin Panchev, 2024.
"Foreign Vulnerabilities, Domestic Risks: The Global Drivers of GDP-at-Risk,"
IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 72(1), pages 335-392, March.
- Lloyd, S. & Manuel, E. & Panchev, K., 2021. "Foreign Vulnerabilities, Domestic Risks: The Global Drivers of GDP-at-Risk," Cambridge Working Papers in Economics 2156, Faculty of Economics, University of Cambridge.
- Lloyd, S. & Manuel, E. & Panchev, K., 2021. "Foreign Vulnerabilities, Domestic Risks: The Global Drivers of GDP-at-Risk," Janeway Institute Working Papers 2102, Faculty of Economics, University of Cambridge.
- Lloyd, Simon & Manuel, Ed & Panchev, Konstantin, 2021. "Foreign vulnerabilities, domestic risks: the global drivers of GDP-at-Risk," Bank of England working papers 940, Bank of England.
- 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.
- Busetti, Fabio & Caivano, Michele & Delle Monache, Davide & Pacella, Claudia, 2021. "The time-varying risk of Italian GDP," Economic Modelling, Elsevier, vol. 101(C).
- Stolbov, Mikhail & Shchepeleva, Maria, 2022. "Modeling global real economic activity: Evidence from variable selection across quantiles," The Journal of Economic Asymmetries, Elsevier, vol. 25(C).
- Martin Iseringhausen, 2021.
"A time-varying skewness model for Growth-at-Risk,"
Working Papers
49, European Stability Mechanism.
- Iseringhausen, Martin, 2024. "A time-varying skewness model for Growth-at-Risk," International Journal of Forecasting, Elsevier, vol. 40(1), pages 229-246.
- 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.
- Patrick A. Adams & Tobias Adrian & Nina Boyarchenko & Domenico Giannone, 2020.
"Forecasting Macroeconomic Risks,"
Staff Reports
914, Federal Reserve Bank of New York.
- Adrian, Tobias & Adams, Patrick & Boyarchenko, Nina & Giannone, Domenico, 2020. "Forecasting Macroeconomic Risks," CEPR Discussion Papers 14436, C.E.P.R. Discussion Papers.
- Adams, Patrick A. & Adrian, Tobias & Boyarchenko, Nina & Giannone, Domenico, 2021. "Forecasting macroeconomic risks," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1173-1191.
- Giacomo Bormetti & Fulvio Corsi, 2021. "A Lucas Critique Compliant SVAR model with Observation-driven Time-varying Parameters," Papers 2107.05263, arXiv.org, revised Feb 2022.
- Paul Labonne, 2022. "Asymmetric Uncertainty: Nowcasting Using Skewness in Real-time Data," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2022-23, Economic Statistics Centre of Excellence (ESCoE).
- James Mitchell & Aubrey Poon & Dan Zhu, 2022.
"Constructing Density Forecasts from Quantile Regressions: Multimodality in Macro-Financial Dynamics,"
Working Papers
22-12R, Federal Reserve Bank of Cleveland, revised 11 Apr 2023.
- James Mitchell & Aubrey Poon & Dan Zhu, 2024. "Constructing density forecasts from quantile regressions: Multimodality in macrofinancial dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 790-812, August.
- Michal Franta & Jan Libich, 2024.
"Holding the economy by the tail: analysis of short- and long-run macroeconomic risks,"
Empirical Economics, Springer, vol. 66(4), pages 1443-1489, April.
- Michal Franta & Jan Libich, 2021. "Holding the Economy by the Tail: Analysis of Short- and Long-run Macroeconomic Risks," Working Papers 2021/3, Czech National Bank.
- Lhuissier Stéphane, 2022.
"Financial Conditions and Macroeconomic Downside Risks in the Euro Area,"
Working papers
863, Banque de France.
- Lhuissier, Stéphane, 2022. "Financial conditions and macroeconomic downside risks in the euro area," European Economic Review, Elsevier, vol. 143(C).
- 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.
- 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.
- Helena Chuliá & Ignacio Garrón & Jorge M. Uribe, 2021.
""Vulnerable Funding in the Global Economy","
IREA Working Papers
202106, University of Barcelona, Research Institute of Applied Economics, revised Mar 2021.
- Chuliá, Helena & Garrón, Ignacio & Uribe, Jorge M., 2024. "Vulnerable funding in the global economy," Journal of Banking & Finance, Elsevier, vol. 169(C).
- Deng, Chuang & Wu, Jian, 2023. "Macroeconomic downside risk and the effect of monetary policy," Finance Research Letters, Elsevier, vol. 54(C).
- Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023.
"Vector autoregression models with skewness and heavy tails,"
Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
- Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021. "Vector autoregression models with skewness and heavy tails," Papers 2105.11182, arXiv.org.
- Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2021. "Vector autoregression models with skewness and heavy tails," Working Papers 2021:8, Örebro University, School of Business.
- Jan Prüser & Florian Huber, 2024.
"Nonlinearities in macroeconomic tail risk through the lens of big data quantile regressions,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 269-291, March.
- Jan Pruser & Florian Huber, 2023. "Nonlinearities in Macroeconomic Tail Risk through the Lens of Big Data Quantile Regressions," Papers 2301.13604, arXiv.org, revised Sep 2023.
- Leopoldo Catania & Alessandra Luati & Pierluigi Vallarino, 2021. "Economic vulnerability is state dependent," CREATES Research Papers 2021-09, Department of Economics and Business Economics, Aarhus University.
- Philippe Goulet Coulombe, 2024. "The macroeconomy as a random forest," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 401-421, April.
- 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.
- 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.
- 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.
- Wolf, Elias, 2022. "Estimating growth at risk with skewed stochastic volatility models," Discussion Papers 2022/2, Free University Berlin, School of Business & Economics.
- Philippe Goulet Coulombe, 2021. "The Macroeconomy as a Random Forest," Working Papers 21-05, Chair in macroeconomics and forecasting, University of Quebec in Montreal's School of Management.
- Botelho, Vasco & Foroni, Claudia & Renzetti, Andrea, 2023. "Labour at risk," Working Paper Series 2840, European Central Bank.
- Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.
- Pacelli, Vincenzo & Miglietta, Federica & Foglia, Matteo, 2022. "The extreme risk connectedness of the new financial system: European evidence," International Review of Financial Analysis, Elsevier, vol. 84(C).
- Paul Labonne, 2020. "Asymmetric uncertainty : Nowcasting using skewness in real-time data," Papers 2012.02601, arXiv.org, revised May 2024.
- Andrea De Polis & Mario Pietrunti, 2019.
"Exchange rate dynamics and unconventional monetary policies: it�s all in the shadows,"
Temi di discussione (Economic working papers)
1231, Bank of Italy, Economic Research and International Relations Area.
Cited by:
- Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2019.
"Forecasting with instabilities: an application to DSGE models with financial frictions,"
Temi di discussione (Economic working papers)
1234, Bank of Italy, Economic Research and International Relations Area.
- Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2015. "Forecasting with Instabilities: an Application to DSGE Models with Financial Frictions," Working Papers 201523, School of Economics, University College Dublin.
- Cardani, Roberta & Paccagnini, Alessia & Villa, Stefania, 2019. "Forecasting with instabilities: An application to DSGE models with financial frictions," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
- Roberta Cardani & Alessia Paccagnini & Stefania Villa, 2019.
"Forecasting with instabilities: an application to DSGE models with financial frictions,"
Temi di discussione (Economic working papers)
1234, Bank of Italy, Economic Research and International Relations Area.
Articles
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More information
Research fields, statistics, top rankings, if available.Statistics
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NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-MAC: Macroeconomics (3) 2019-11-25 2021-03-29 2021-05-31. Author is listed
- NEP-FOR: Forecasting (2) 2021-03-29 2021-05-31. Author is listed
- NEP-RMG: Risk Management (2) 2021-03-29 2021-05-31. Author is listed
- NEP-CBA: Central Banking (1) 2019-11-25. Author is listed
- NEP-CWA: Central and Western Asia (1) 2021-05-31. Author is listed
- NEP-EEC: European Economics (1) 2019-11-25. Author is listed
- NEP-FDG: Financial Development and Growth (1) 2021-03-29. Author is listed
- NEP-MON: Monetary Economics (1) 2019-11-25. Author is listed
- NEP-OPM: Open Economy Macroeconomics (1) 2019-11-25. Author is listed
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