Structural and predictive analyses with a mixed copula-based vector autoregression model
Year of publication: |
2023
|
---|---|
Authors: | Woraphon Yamaka ; Gupta, Rangan ; Sukrit Thongkairat ; Paravee Maneejuk |
Published in: |
Journal of forecasting. - New York, NY : Wiley Interscience, ISSN 1099-131X, ZDB-ID 2001645-1. - Vol. 42.2023, 2, p. 223-239
|
Subject: | forecasting | mixed copula | predictive power | vector autoregressive | VAR-Modell | VAR model | Prognoseverfahren | Forecasting model | Multivariate Verteilung | Multivariate distribution | Theorie | Theory | Zeitreihenanalyse | Time series analysis | Prognose | Forecast |
-
Wamiliana, (2024)
-
Predicting tail risks by a Markov switching MGARCH model with varying copula regimes
Fülle, Markus J., (2024)
-
A Copula-VAR-X Approach for Industrial Production Modelling and Forecasting
Bianchi, Carluccio, (2009)
- More ...
-
The transition of the global financial markets' connectedness during the COVID-19 pandemic
Paravee Maneejuk, (2022)
-
A generalized information theoretical approach to non-linear time series model
Songsak Sriboonchitta, (2017)
-
Analysis of global competitiveness using copula-based stochastic frontier kink model
Paravee Maneejuk, (2017)
- More ...