#2711. Detecting groups in large vector autoregressions

December 2026publication date
Proposal available till 30-05-2025
4 total number of authors per manuscript3000 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Economics and Econometrics;
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
900 $800 $700 $600 $
Contract2711.1 Contract2711.2 Contract2711.3 Contract2711.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

Abstract:
The article presents a model of Stochastic Block Vector Autoregression (SB-VAR). The results show that in this class of vector autoregression, the time series are divided into hidden groups, so that side effects are more pronounced among the series belonging to the same group than in others.
Keywords:
Community detection; Forecasting; Random graphs; Spectral clustering; Time series; Vector autoregressions

Contacts :
0