A mixture autoregressive model based on Student’s t–distribution
A new mixture autoregressive model based on Student’s t–distribution is proposed. A key feature of our model is that the conditional t–distributions of the component models are based on autoregressions that have multivariate t–distributions as their (low-dimensional) stationary distributions. That a...
Saved in:
Main Authors: | MEITZ, Mika, PREVE, Daniel, SAIKKONEN, Pentti |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2023
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/2577 https://ink.library.smu.edu.sg/context/soe_research/article/3576/viewcontent/03610926.2021.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Conditional Heteroskedasticity in Stock Returns: Evidence from Stock Markets of Mainland China
by: YIN ZIHUI
Published: (2010) -
The long-run relationships and short-term linkages in international securitized real estate markets
by: CHEN ZHIWEI
Published: (2010) -
The modified mixture of distributions model: A revisit
by: Fong, W.M., et al.
Published: (2013) -
Modified QML Estimation of Spatial Autoregressive Models with Unknown Heteroskedasticity and Nonnormality
by: LIU, Shew Fan, et al.
Published: (2015) -
Modified QML Estimation of Spatial Autoregressive Models with Unknown Heteroskedasticity and Nonnormality
by: LIU, Shew Fan, et al.
Published: (2014)