---
title: Zero-Shot Conditional Forecasting and the Information Content of Central Bank Paths
url: https://www.ml-quant.com/papers/repec/ces-ceswps-12972/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-10-02
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:ces:ceswps:_12972
source_url: https://econpapers.repec.org/RePEc:ces:ceswps:_12972
featured: 2026-10-02
citations: unknown
topic: Econometrics & Forecasting
---


# Zero-Shot Conditional Forecasting and the Information Content of Central Bank Paths

A pre-trained time-series model reading central bank published paths cuts forecast errors better than the banks themselves and hard-conditioned VARs, revealing exploitable institutional differences.

- Source: https://econpapers.repec.org/RePEc:ces:ceswps:_12972
- Identifier: RePEc:ces:ceswps:_12972
- Released: 2026-09-21
- First featured: Quant Letter No. 133 (2026-10-02): https://www.ml-quant.com/issues/2026-10-02/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting
- Authors: Vegard H. Larsen, Leif Anders Thorsrud

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