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Extended Constant Conditional Correlation (ECCC) Model for Multivariate GARCH Time Series: an Illustration다변량 GARCH 모형의 CCC 및 ECCC 비교분석

Other Titles
다변량 GARCH 모형의 CCC 및 ECCC 비교분석
Authors
이승연황선영
Issue Date
Dec-2014
Publisher
한국통계학회
Keywords
Constant conditional correlation (CCC); extended-CCC (ECCC); interactions.; 상수조건부상관; 확장된 상수조건부상관; 변동성간의 상호작용
Citation
응용통계연구, v.27, no.7, pp 1219 - 1228
Pages
10
Journal Title
응용통계연구
Volume
27
Number
7
Start Page
1219
End Page
1228
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/5662
DOI
10.5351/KJAS.2014.27.7.1219
ISSN
1225-066X
Abstract
Constant conditional correlation (CCC) is frequently employed for parsimony in the field of multivariate GARCH time series. An extended-CCC (ECCC) model is further developed in order to allow interactions between multivariate volatilities. The paper introduces both CCC model and ECCC model to the domestic financial time series. The CCC and ECCC models are fitted and then compared with each other through various multivatiate time series.
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