Markov switching beta-skewed-t EGARCH
© Springer Nature Switzerland AG 2019. This study extends the work of Harvey and Sucarrat [15] and present Markov regime-switching (MS) Beta-skewed-t-EGARCH (exponential generalized autoregressive conditional heteroscedasticity) model to predict the volatility. To examine the performance of our mode...
Saved in:
Main Authors: | Woraphon Yamaka, Paravee Maneejuk, Songsak Sriboonchitta |
---|---|
格式: | Book Series |
出版: |
2019
|
主題: | |
在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85064196834&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65542 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
A Markov-Switching Model with Mixture Distribution Regimes
由: Paravee Maneejuk, et al.
出版: (2018) -
Frontier quantile model using a generalized class of skewed distributions
由: Varith Pipitpojanakarn, et al.
出版: (2018) -
Empirical likelihood estimation of the Markov-switching model
由: Paravee Maneejuk, et al.
出版: (2018) -
Welfare measurement on Thai rice market: A Markov Switching Bayesian Seemingly Unrelated Regression
由: Pathairat Pastpipatkul, et al.
出版: (2018) -
Frontier quantile model using a generalized class of skewed distributions
由: Varith Pipitpojanakarn, et al.
出版: (2018)