Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

이분산성 시계열 모형(GARCH, IGARCH, EGARCH)들의 성능 비교Comparison of a Class of Nonlinear Time Series models(GARCH, IGARCH, EGARCH)

Authors
김삼용이용흔
Issue Date
Mar-2006
Publisher
한국통계학회
Citation
응용통계연구, v.19, no.1, pp 33 - 41
Pages
9
Journal Title
응용통계연구
Volume
19
Number
1
Start Page
33
End Page
41
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/29246
ISSN
1225-066X
Abstract
In this paper, we analyse the volatilities in nancial data such as stock prices andexchange rates in term of a class of nonlinear time series models. We compare theperformance of Generalized Autoregressive Conditional Heteroscadastic(GARCH), In-tegrated GARCH(IGARCH), Exponential GARCH(EGARCH) models by KOSPI (Ko-
Files in This Item
Appears in
Collections
College of Business & Economics > Department of Applied Statistics > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Sahm Yong photo

Kim, Sahm Yong
대학원 (통계데이터사이언스학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE