Sequential change-point detection in time series models with conditional heteroscedasticity
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초록

In this study, we investigate a sequential procedure for the early detection of parameter changes in conditionally heteroscedastic time series models. We introduce the detectors based on the cumulative sum of score vectors and residuals for this procedure. The asymptotic properties of the monitoring procedures are established under the null and alternative hypotheses. Simulation results are provided for illustration. © 2024 Elsevier B.V.

키워드

Asymmetric GARCHConditionally heteroscedastic time seriesGARCH-type modelsParameter changeSequential detection
제목
Sequential change-point detection in time series models with conditional heteroscedasticity
저자
Lee, YoungmiKim, SungdonOh, Haejune
DOI
10.1016/j.econlet.2024.111597
발행일
2024-03
유형
Article
저널명
Economics Letters
236