---
title: Regional Banknote Forecast
url: https://www.ml-quant.com/papers/repec/zbw-bubdps-305276/
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:zbw:bubdps:305276
source_url: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.econstor.eu%2Fbitstream%2F10419%2F305276%2F1%2F1906970270.pdf%3Bh%3Drepec%3Azbw%3Abubdps%3A305276
featured: 2024-12-04
citations: unknown
topic: Econometrics & Forecasting
---


# Regional Banknote Forecast

Machine learning can enhance cash demand forecasting and inventory performance, as shown in a study involving six branches of Deutsche Bundesbank.

- Source: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fwww.econstor.eu%2Fbitstream%2F10419%2F305276%2F1%2F1906970270.pdf%3Bh%3Drepec%3Azbw%3Abubdps%3A305276
- Identifier: RePEc:zbw:bubdps:305276
- Released: 2024-12-04
- First featured: Quant Letter No. 77 (2024-12-04): https://www.ml-quant.com/issues/2024-12-04/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting

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