ML-QuantSubscribe

SSRNEconometrics & Forecasting

Bayesian Vector Autoregression for Joint Macroeconomic Forecasting: Pseudo-Real-Time Evidence, Density Forecasts, Structural Dynamics, Scenario Analysis, and Practical Macro-Risk Use for the United States

The research develops a compact Bayesian VAR for real-time forecasting of GDP growth, inflation, unemployment, and the federal funds rate, with evaluation emphasizing density scores and predictive-interval diagnostics.

Featured in No. 133 on 2 Oct 2026 · 5 days after release

Released
27 Sep 2026
First featured
No. 133 · 2 Oct 2026
Published in
Not yet, as far as Semantic Scholar knows
Fanfare
2 of 5
Identifier
SSRN 7532698
Authors
Cenk Ufuk Yildiran

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