---
title: Multivariate Economic Tail Risk and Scenario Analysis using the survey of Professional Forecasters
url: https://www.ml-quant.com/papers/repec/awi-wpaper-0771/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-11-14
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: RePEc:awi:wpaper:0771
source_url: https://econpapers.repec.org/RePEc:awi:wpaper:0771
featured: 2026-11-13
citations: unknown
topic: Econometrics & Forecasting
---


# Multivariate Economic Tail Risk and Scenario Analysis using the survey of Professional Forecasters

Incorporating professional forecasts into GARCH models improves predictions of joint tail risks for growth, inflation, and unemployment, enabling better scenario-based risk assessment.

- Source: https://econpapers.repec.org/RePEc:awi:wpaper:0771
- Identifier: RePEc:awi:wpaper:0771
- Released: 2026-11-09
- First featured: Quant Letter No. 139 (2026-11-13): https://www.ml-quant.com/issues/2026-11-13/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Econometrics & Forecasting
- Authors: Schick, Manuel, Opschoor, Anne

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