Robust monitoring conditional volatility change for time series based on support vector regression

This study considers a robust monitoring procedure aimed at detecting an anomaly of conditional volatility from sequentially observed time series following a (nonlinear) generalized autoregressive conditional heteroscedastic (GARCH) model. We employ a specifically designed cumulative sum (CUSUM) met...

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Bibliographic Details
Published inCommunications in statistics. Simulation and computation Vol. 54; no. 6; pp. 2201 - 2220
Main Authors Yoon, Min Hyeok, Kim, Chang Kyeom, Lee, Sangyeol
Format Journal Article
LanguageEnglish
Published Taylor & Francis 03.06.2025
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