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Box-Cox transformation for conditional heteroscedasticity in domestic financial time series

Authors
황선영이지혜
Issue Date
Jun-2004
Publisher
한국데이터정보과학회
Keywords
ARCH; Box-Cox transformation; financial time series; ARCH; Box-Cox transformation; financial time series
Citation
한국데이터정보과학회지, v.15, no.2, pp 413 - 422
Pages
10
Journal Title
한국데이터정보과학회지
Volume
15
Number
2
Start Page
413
End Page
422
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/9614
ISSN
1598-9402
Abstract
Box-Cox power transformation is employed for analyzing volatilities in Korean financial time series such as KOSPI, KOSDAQ index and interest rates. Statistical procedures for Box-Cox transformed ARCH models are presented. For illustration, diverse financial time series data are analyzed and appropriate power transformations are suggested for each data.
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