Estimation and forecasting of dynamic conditional covariance: A semiparametric multivariate model
We propose a semiparametric conditional covariance (SCC) estimator that combines the first-stage parametric conditional covariance (PCC) estimator with the second-stage nonparametric correction estimator in a multiplicative way. We prove the asymptotic normality of our SCC estimator, propose a nonpa...
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sg-smu-ink.soe_research-23312018-09-03T08:08:46Z Estimation and forecasting of dynamic conditional covariance: A semiparametric multivariate model LONG, Xiangdong SU, Liangjun ULLAH, Aman We propose a semiparametric conditional covariance (SCC) estimator that combines the first-stage parametric conditional covariance (PCC) estimator with the second-stage nonparametric correction estimator in a multiplicative way. We prove the asymptotic normality of our SCC estimator, propose a nonparametric test for the correct specification of PCC models, and study its asymptotic properties. We evaluate the finite sample performance of our test and SCC estimator and compare the latter with that of PCC estimator, purely nonparametric estimator, and Hafner, Dijk, and Franses’s (2006) estimator in terms of mean squared error and Value-at-Risk losses via simulations and real data analyses. 2011-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/1332 info:doi/10.1198/jbes.2009.07057 https://ink.library.smu.edu.sg/context/soe_research/article/2331/viewcontent/Estimation_and_Forecasting_of_Dynamic_Conditional_Covariance_A_Semiparametric_Multivariate_Model.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Conditional Covariance Matrix Multivariate GARCH Portfolio Semiparametric Estimator Specification Test. Econometrics Multivariate Analysis |
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Conditional Covariance Matrix Multivariate GARCH Portfolio Semiparametric Estimator Specification Test. Econometrics Multivariate Analysis LONG, Xiangdong SU, Liangjun ULLAH, Aman Estimation and forecasting of dynamic conditional covariance: A semiparametric multivariate model |
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We propose a semiparametric conditional covariance (SCC) estimator that combines the first-stage parametric conditional covariance (PCC) estimator with the second-stage nonparametric correction estimator in a multiplicative way. We prove the asymptotic normality of our SCC estimator, propose a nonparametric test for the correct specification of PCC models, and study its asymptotic properties. We evaluate the finite sample performance of our test and SCC estimator and compare the latter with that of PCC estimator, purely nonparametric estimator, and Hafner, Dijk, and Franses’s (2006) estimator in terms of mean squared error and Value-at-Risk losses via simulations and real data analyses. |
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LONG, Xiangdong SU, Liangjun ULLAH, Aman |
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LONG, Xiangdong SU, Liangjun ULLAH, Aman |
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LONG, Xiangdong |
title |
Estimation and forecasting of dynamic conditional covariance: A semiparametric multivariate model |
title_short |
Estimation and forecasting of dynamic conditional covariance: A semiparametric multivariate model |
title_full |
Estimation and forecasting of dynamic conditional covariance: A semiparametric multivariate model |
title_fullStr |
Estimation and forecasting of dynamic conditional covariance: A semiparametric multivariate model |
title_full_unstemmed |
Estimation and forecasting of dynamic conditional covariance: A semiparametric multivariate model |
title_sort |
estimation and forecasting of dynamic conditional covariance: a semiparametric multivariate model |
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Institutional Knowledge at Singapore Management University |
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2011 |
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https://ink.library.smu.edu.sg/soe_research/1332 https://ink.library.smu.edu.sg/context/soe_research/article/2331/viewcontent/Estimation_and_Forecasting_of_Dynamic_Conditional_Covariance_A_Semiparametric_Multivariate_Model.pdf |
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