Determination of vector error correction models in high dimensions

Chong Liang and Melanie Schienle

No 124, Working Paper Series in Economics from Karlsruhe Institute of Technology (KIT), Department of Economics and Management

Abstract: We provide a shrinkage type methodology which allows for simultaneous model selection and estimation of vector error correction models (VECM) when the dimension is large and can increase with sample size. Model determination is treated as a joint selection problem of cointegrating rank and autoregressive lags under respective practically valid sparsity assumptions. We show consistency of the selection mechanism by the resulting Lasso-VECM estimator under very general assumptions on dimension, rank and error terms. Moreover, with computational complexity of a linear programming problem only, the procedure remains computationally tractable in high dimensions. We demonstrate the effectiveness of the proposed approach by a simulation study and an empirical application to recent CDS data after the financial crisis.

Keywords: High-dimensional time series; VECM; Cointegration rank and lag selection; Lasso; Credit Default Swap (search for similar items in EconPapers)
JEL-codes: C32 C52 (search for similar items in EconPapers)
Date: 2019
New Economics Papers: this item is included in nep-ecm, nep-ets and nep-ore
References: Add references at CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/191548/1/1047196697.pdf (application/pdf)

Related works:
Journal Article: Determination of vector error correction models in high dimensions (2019)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:kitwps:124

DOI: 10.5445/IR/1000092474

Access Statistics for this paper

More papers in Working Paper Series in Economics from Karlsruhe Institute of Technology (KIT), Department of Economics and Management Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().