ML-QuantSubscribe

RePEcEconometrics & Forecasting

Behind the curve: Reassessing inflation risks with a High-dimensional Distributional VAR (HiDVAR)

HiDVAR, a data-rich distributional framework, improves inflation tail-risk assessment by 28% in CRPS relative to standard benchmarks and performs well in real-time evaluation.

Featured in No. 138 on 6 Nov 2026 · 4 days after release

Predicted Probabilities of Inflation surpassing 4.5%
Figure 15: Predicted Probabilities of Inflation surpassing 4.5%
Released
2 Nov 2026
First featured
No. 138 · 6 Nov 2026
Published in
Not yet, as far as Semantic Scholar knows
Fanfare
4 of 5
Identifier
RePEc:zbw:imfswp:344237
Authors
Luca Schmitz

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

    Type to search. Try rough volatility, LLM agents or FinGPT.

    ↑↓ move↵ openesc closeFull search page