Hybrid CUSUM Change Point Test for Time Series with Time-Varying Volatilities Based on Support Vector Regression

This study considers the problem of detecting a change in the conditional variance of time series with time-varying volatilities based on the cumulative sum (CUSUM) of squares test using the residuals from support vector regression (SVR)-generalized autoregressive conditional heteroscedastic (GARCH)...

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Detalles Bibliográficos
Autores principales: Lee, Sangyeol, Kim, Chang Kyeom, Lee, Sangjo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517100/
https://www.ncbi.nlm.nih.gov/pubmed/33286350
http://dx.doi.org/10.3390/e22050578

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517100/
https://www.ncbi.nlm.nih.gov/pubmed/33286350
http://dx.doi.org/10.3390/e22050578

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