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CAViaR : conditional value at risk by quantile regression
Engle, Robert F.; Manganelli, Simone - 1999
Persistent link: https://www.econbiz.de/10001415135
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CAViaR: conditional autoregressive value at risk by regression quantiles
Engle, Robert F.; Manganelli, Simone - In: Journal of business & economic statistics : JBES ; a … 22 (2004) 4, pp. 367-381
Persistent link: https://www.econbiz.de/10002372839
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CAViaR : conditional autoregressive value at risk by regression quantiles
Engle, Robert F.; Manganelli, Simone - 1999
Persistent link: https://www.econbiz.de/10001441337
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Time and the price impact of a trade
Dufour, Alfonso; Engle, Robert F. - 1999
Persistent link: https://www.econbiz.de/10001395161
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Time and the price impact of a trade
Dufour, Alfonso; Engle, Robert F. - In: The journal of finance : the journal of the American … 55 (2000) 6, pp. 2467-2498
Persistent link: https://www.econbiz.de/10001537329
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Large dynamic covariance matrices
Engle, Robert F.; Ledoit, Olivier; Wolf, Michael - 2017 - Revised version
second moments can be approached from two angles: time series and the cross-section. In time series, the key is to account …
Persistent link: https://www.econbiz.de/10011640555
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Large dynamic covariance matrices
Engle, Robert F.; Ledoit, Olivier; Wolf, Michael - In: Journal of business & economic statistics : JBES ; a … 37 (2019) 2, pp. 363-375
Persistent link: https://www.econbiz.de/10012178181
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Large dynamic covariance matrices
Engle, Robert F.; Ledoit, Olivier; Wolf, Michael - 2016
second moments can be approached from two angles: time series and the cross-section. In time series, the key is to account …
Persistent link: https://www.econbiz.de/10011518597
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Large dynamic covariance matrices: enhancements based on intraday data
De Nard, Gianluca; Engle, Robert F.; Ledoit, Olivier; … - 2021 - This version: June 2021
Multivariate GARCH models do not perform well in large dimensions due to the so-called curse of dimensionality. The recent DCC-NL model of Engle et al. (2019) is able to overcome this curse via nonlinear shrinkage estimation of the unconditional correlation matrix. In this paper, we show how...
Persistent link: https://www.econbiz.de/10012584099
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Large dynamic covariance matrices: enhancements based on intraday data
De Nard, Gianluca; Engle, Robert F.; Ledoit, Olivier; … - 2022 - This version: January 2022
Multivariate GARCH models do not perform well in large dimensions due to the so-called curse of dimensionality. The recent DCC-NL model of Engle et al. (2019) is able to overcome this curse via nonlinear shrinkage estimation of the unconditional correlation matrix. In this paper, we show how...
Persistent link: https://www.econbiz.de/10013040932