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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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Comments on: Nonparametric tail risk, stock returns and the macroeconomy
Camponovo, Lorenzo; Scaillet, Olivier; Trojani, Fabio - 2016
This paper contains comments on Nonparametric Tail Risk, Stock Returns and the Macroeconomy …
Persistent link: https://www.econbiz.de/10011518800
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Real-time macroeconomic forecasting with a heteroscedastic inversion copula
Loiza-Maya, Ruben; Smith, Michael S. - In: Journal of business & economic statistics : JBES ; a … 38 (2020) 2, pp. 470-486
Persistent link: https://www.econbiz.de/10012262488
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Comment on: nonparametric tail risk, stock returns, and the macroeconomy
Dobrev, Dobrislav; Schaumburg, Ernst - In: Journal of financial econometrics : official journal of … 15 (2017) 3, pp. 388-409
Persistent link: https://www.econbiz.de/10011987513
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Density and Risk Prediction with Non-Gaussian COMFORT Models
Paolella, Marc S.; Polak, Pawel - 2022
returns. For multivariate density and portfolio risk forecasting, a drawback of these models is the underlying assumption of … generalized hyperbolic innovations. The novelty of the model is that parameter estimation is conducted by joint maximum likelihood …. An extensive empirical study confirms the COMFORT model’s superiority in terms of multivariate density and Value-at-Risk …
Persistent link: https://www.econbiz.de/10014236254
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Density and risk prediction with non-Gaussian COMFORT models
Paolella, Marc S.; Polak, Pawel - In: Annals of financial economics 18 (2023) 1, pp. 1-37
Persistent link: https://www.econbiz.de/10014442390
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Forecasting value at risk and expected shortfall using high-frequency data of domestic and international stock markets
Wang, Man; Cheng, Yihan - In: Journal of forecasting 41 (2022) 8, pp. 1595-1607
Persistent link: https://www.econbiz.de/10013465725