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분계점 비대칭과 멱변환 특징을 가진 비정상-변동성 모형Volatility-nonstationary GARCH(1,1) models featuring threshold-asymmetry and power transformation

Other Titles
Volatility-nonstationary GARCH(1,1) models featuring threshold-asymmetry and power transformation
Authors
최선우황선영이성덕
Issue Date
Dec-2020
Publisher
한국통계학회
Keywords
비정상 변동성; 비대칭 변동성; 멱변환; volatility-nonstationary; threshold-asymmetry; power transformation
Citation
응용통계연구, v.33, no.6, pp 713 - 722
Pages
10
Journal Title
응용통계연구
Volume
33
Number
6
Start Page
713
End Page
722
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/936
DOI
10.5351/KJAS.2020.36.6.713
ISSN
1225-066X
Abstract
Contrasted with the standard symmetric GARCH models, we consider a broad class of threshold-asymmetric models to analyse financial time series exhibiting asymmetric volatility. By further introducing power transformations, we add more flexibilities to the asymmetric class, thereby leading to power transformed and asymmetric volatility models. In particular, the paper is concerned with the nonstationary volatilities in which conditions for integrated volatility and explosive volatility are separately discussed. Dow Jones Industrial Average is analysed for illustration.
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