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제곱수익률 그래프와 TGARCH 모형을 이용한 비대칭 변동성 분석Squared Log-return and TGARCH Model : Asymmetric Volatility in Domestic Time Series

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Squared Log-return and TGARCH Model : Asymmetric Volatility in Domestic Time Series
Authors
박진아송유진백지선황선영최문선
Issue Date
Nov-2007
Publisher
한국통계학회
Keywords
Asymmetric heteroscedasticity; squared log-return; TGARCH(1; 1)
Citation
응용통계연구, v.20, no.3, pp 487 - 497
Pages
11
Journal Title
응용통계연구
Volume
20
Number
3
Start Page
487
End Page
497
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/14872
ISSN
1225-066X
Abstract
As is pointed out by Gourieroux (1997), the volatility eects in nancial time seriesvary according to the signs of the return rates and therefore asymmetric Threshold-GARCH (TGARCH, henceforth) processes are natural extensions of the standardGARCH toward asymmetric volatility modeling. For preliminary detection of asym-metry in volatility, we suggest graphs of squared-log-returns for various nancial timeseries including KOSPI, KOSDAQ and won-Euro exchange rate. Next, asymmetricTGARCH(1,1) model ts are provided in comparisons with standard GARCH(1.1)models.
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