---
title: Univariate Forecasting Models' Update Frequency
url: https://www.ml-quant.com/papers/repec/eee-ejores-v-314-y-2024-i-1-p-111-121/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:eee:ejores:v:314:y:2024:i:1:p:111-121
source_url: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0377221723006859%3Bh%3Drepec%3Aeee%3Aejores%3Av%3A314%3Ay%3A2024%3Ai%3A1%3Ap%3A111-121
featured: 2024-01-09
citations: unknown
topic: Econometrics & Forecasting
---


# Univariate Forecasting Models' Update Frequency

Intermediate updating scenarios in univariate time series forecasting models can achieve similar or better accuracy with less computational cost, challenging the need for constant model updates.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fpii%2FS0377221723006859%3Bh%3Drepec%3Aeee%3Aejores%3Av%3A314%3Ay%3A2024%3Ai%3A1%3Ap%3A111-121
- Identifier: RePEc:eee:ejores:v:314:y:2024:i:1:p:111-121
- Released: 2024-01-09
- First featured: Quant Letter No. 32 (2024-01-09): https://www.ml-quant.com/issues/2024-01-09/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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