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Pro-cyclicality of risk measurements - empirical quantification and theoretical confirmation

Bräutigam, Marcel - 2020

Persistent link: https://www.econbiz.de/10012488824

Efficient estimation of high-dimensional dynamic covariance by risk factor mapping : applications for financial risk management

So, Mike Ka-pui; Chan, Thomas W. C.; Chu, Amanda M. Y. - In: Journal of econometrics 227 (2022) 1, pp. 151-167

Persistent link: https://www.econbiz.de/10013441642

Conditional correlation models of autoregressive conditional heteroscedasticity with nonstationary GARCH equations

Amado, Cristina; Teräsvirta, Timo - In: Journal of business & economic statistics : JBES ; a … 32 (2014) 1, pp. 69-87

Persistent link: https://www.econbiz.de/10010380478

Testing and comparing the performance of dynamic variance and correlation models in value-at-risk estimation

Li, Leon - In: The North American journal of economics and finance : a … 40 (2017), pp. 116-135

Persistent link: https://www.econbiz.de/10011878799

Correlation shrinkage : implications for risk forecasting

Menchero, Jose; Li, Peng - In: Journal of investment management : JOIM 18 (2020) 3, pp. 92-108

Persistent link: https://www.econbiz.de/10012589102

An empirical evaluation of large dynamic covariance models in portfolio value-at-risk estimation

Law, Keith K. F.; Li, Wai Keung; Yu, Philip L. H. - In: The journal of risk model validation 14 (2020) 2, pp. 21-39

Persistent link: https://www.econbiz.de/10014335946

A novel robust method for estimating the covariance matrix of financial returns with applications to risk management

Leccadito, Arturo; Staino, Alessandro; Toscano, Pietro - In: Financial innovation : FIN 10 (2024), pp. 1-28

This study introduces the dynamic Gerber model (DGC) and evaluates its performance in the prediction of Value at Risk (VaR) and Expected Shortfall (ES) compared to alternative parametric, non-parametric and semi-parametric methods for estimating the covariance matrix of returns. Based on ES...

Persistent link: https://www.econbiz.de/10015361657

Forecasting value-at-risk with time-varying variance, skewness and kurtosis in an exponential weighted moving average framework

Gabrielsen, Alexandros; Kirchner, Axel; Liu, Zhuoshi; … - In: Annals of financial economics 10 (2015) 1, pp. 1-29

Persistent link: https://www.econbiz.de/10011382540

Forecasting value-at-risk with time-varying variance, skewnessn and kurtosis in an exponential weighted moving average framework

Gabrielsen, Alexandros; Zagaglia, Paolo; Kirchner, Axel; … - 2012 - This version: June 6, 2012

by proposing an exponential weighted moving average model that jointly estimates volatility, skewness and kurtosis over …

Persistent link: https://www.econbiz.de/10011731521

Cross-sectional quantile regression for estimating conditional VaR of returns during periods of high volatility

Vidal-Llana, Xenxo; Guillén, Montserrat - In: The North American journal of economics and finance : a … 63 (2022), pp. 1-9

Persistent link: https://www.econbiz.de/10014225819