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Forecasting macroeconomic risks
Adams, Patrick A.; Adrian, Tobias; Boyarchenko, Nina; … - In: International journal of forecasting 37 (2021) 3, pp. 1173-1191
Persistent link: https://www.econbiz.de/10012794835
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Risky oil : it's all in the tails
Baumeister, Christiane; Huber, Florian; Marcellino, … - 2024
Persistent link: https://www.econbiz.de/10014537272
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Forecasting VaR and ES using a joint quantile regression and its implications in portfolio allocation
Merlo, Luca; Petrella, Lea; Raponi, Valentina - In: Journal of banking & finance 133 (2021), pp. 1-18
Persistent link: https://www.econbiz.de/10013256440
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Forecasting value at risk and expected shortfall using a semiparametric approach based on the asymmetric laplace distribution
Taylor, James W. - In: Journal of business & economic statistics : JBES ; a … 37 (2019) 1, pp. 121-133
Persistent link: https://www.econbiz.de/10012176554
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Nowcasting tail risk to economic activity at a weekly frequency
Carriero, Andrea; Clark, Todd E.; Marcellino, Massimiliano - In: Journal of applied econometrics 37 (2022) 5, pp. 843-866
Persistent link: https://www.econbiz.de/10013464633
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Assessing macroeconomic tail risks in a data-rich environment
Cook, Thomas R.; Doh, Taeyoung - 2019
Persistent link: https://www.econbiz.de/10012151332
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Nowcasting tail risks to economic activity with many indicators
Carriero, Andrea; Clark, Todd E.; Marcellino, Massimiliano - 2020
Persistent link: https://www.econbiz.de/10012388077
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Forecasting the return distribution using high-frequency volatility measures
Hua, Jian; Manzan, Sebastiano - In: Journal of banking & finance 37 (2013) 11, pp. 4381-4403
Persistent link: https://www.econbiz.de/10010247031
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Quantile graphical models : prediction and conditional independence with applications to systemic risk
Belloni, Alexandre; Chen, Mingli; Chernozhukov, Victor - 2017 - This version December 4, 2017
the financial risk management literature. Importantly, the proposed framework is intended to be applied to non … is relevant in applications concerning with extreme events. We show that the associated tail risk network can be used for … measuring systemic risk contributions. We also apply the framework to study international financial contagion and the impact of …
Persistent link: https://www.econbiz.de/10011775380
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Predicting tail risks and the evolution of temperatures
Phella, Anthoulla; Gabriel, Vasco J.; Martins, Luís Filipe - In: Energy economics 131 (2024), pp. 1-15
This paper explores a range of simple models to study the relationship between global temperature anomalies and climate forcings. In particular, we consider quantile regression models with potentially time-varying parameters (TVP), implemented by Bayesian methods. In its most general...
Persistent link: https://www.econbiz.de/10015046380