Testing for the martingale difference hypothesis in multivariate time series models
| Year of publication: |
2022
|
|---|---|
| Authors: | Wang, Guochang ; Zhu, Ke ; Shao, Xiaofeng |
| Published in: |
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association. - Abingdon : Taylor & Francis, ISSN 1537-2707, ZDB-ID 2043744-4. - Vol. 40.2022, 3, p. 980-994
|
| Subject: | Martingale difference divergence matrix | Martingale difference hypothesis | Multivariate time series models | Specification test | Wild bootstrap | Martingal | Martingale | Zeitreihenanalyse | Time series analysis | Bootstrap-Verfahren | Bootstrap approach | Theorie | Theory | Statistischer Test | Statistical test |
-
Kumar, Dilip, (2014)
-
Fourier-type tests involving martingale difference processes
Hlávka, Zdeněk, (2017)
-
A deep learning test of the martingale difference hypothesis
Bastos, João A., (2025)
- More ...
-
Hybrid quantile estimation for asymmetric power GARCH models
Wang, Guochang, (2022)
-
A new generalized exponentially weighted moving average quantile model and its statistical inference
Zhu, Ke, (2023)
-
Testing error distribution by kernelized Stein discrepancy in multivariate time series models
Luo, Donghang, (2023)
- More ...