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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Published in | Communications in statistics. Simulation and computation Vol. 54; no. 6; pp. 2201 - 2220 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Taylor & Francis
03.06.2025
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Subjects | |
Online Access | Get full text |
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