VAR-GRU: A Hybrid Model for Multivariate Financial Time Series Prediction
© 2020, Springer Nature Switzerland AG. A determining the most relevant variables and proper lag length are the most challenging steps in multivariate time series analysis. In this paper, we propose a hybrid Vector Autoregressive and Gated Recurrent Unit (VAR-GRU) model to find the contextual variab...
Saved in:
Main Authors: | Lkhagvadorj Munkhdalai, Meijing Li, Nipon Theera-Umpon, Sansanee Auephanwiriyakul, Keun Ho Ryu |
---|---|
Format: | Book Series |
Published: |
2020
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85082385074&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/68349 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Companies Trading Signs Prediction Using Fuzzy Hybrid Operator with Swarm Optimization Algorithms
by: Panuwit Pholkerd, et al.
Published: (2020) -
Prediction of penetration rate by GRU neural network
by: Leo, Kew Xun Wei
Published: (2022) -
Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation
by: Pakpoom Prommool, et al.
Published: (2018) -
Vision-based automatic vehicle counting system using motion estimation with Taylor series approximation
by: Pakpoom Prommool, et al.
Published: (2018) -
Face recognition technology development with Gabor, PCA and SVM methodology under illumination normalization condition
by: Meijing Li, et al.
Published: (2018)