A Note on the Finite Sample Bias in Time Series Cross-Validation
Amaze Lusompa
Papers from arXiv.org
Abstract:
It is well known that model selection via cross validation can be biased for time series models. However, many researchers have argued that this bias does not apply when using cross-validation with vector autoregressions (VAR) or with time series models whose errors follow a martingale-like structure. I show that even under these circumstances, performing cross-validation on time series data will still generate bias in general.
Date: 2025-12
New Economics Papers: this item is included in nep-ets
References: Add references at CitEc
Citations:
Downloads: (external link)
http://arxiv.org/pdf/2512.05900 Latest version (application/pdf)
Related works:
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:arx:papers:2512.05900
Access Statistics for this paper
More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().