Which Factors Drive Downside Risk in the U.S. Economy?

EI Seminar
American flag on a flagpole

We study which common factors drive downside risk across a large panel of U.S. macroeconomic variables. We consider a broad set of candidate predictors, comprising both observed factors constructed from macroeconomic, financial, and text data, as well as unobserved factors associated with the panel. 

Speaker
Christian Brownlees
Date
Thursday 2 Apr 2026, 12:00 - 13:00
Type
Seminar
Room
ET-14
Location
Campus Woudestein
Add to calendar

(With Carlo Pavanello and Andre B.M. Souza)

The relevance of the factors is assessed by how much they improve out-of-sample downside risk prediction accuracy. Factors are mapped into forecasts via quantile regression and location-scale regression. Results point to a single factor associated with macroeconomic volatility, most closely proxied by the macroeconomic uncertainty index (Jurado et al., 2015).

See also

The Causal Interpretation of the AKM Estimand

Daniel Wilhelm (LMU Munich)

Opportunities in Algorithmic Trading for Battery Storage in Short-Term Electricity Markets

David Wozabal (Vrije Universiteit Amsterdam)
Image - Electricity Power Grid

Testing for endogeneity of irregular sampling schemes

Giulia Livieri (LSE)
Image - Graph Statistics Stock

Causal Inference and Policy Evaluation

Keynote Speaker: Alberto Abadie
Image of campus Woudestein

Adapting smart waste collection systems through operational learning

Dilay Aktas Dejaegere (KU Leuven)

Uneven buffering of U.S. maize yields against extreme heat - a time-varying coefficient panel approach

Marina Friedrich (Vrije Universiteit Amsterdam)
View of a cornfield

Handling and Exploiting Symmetry in Benders Decomposition

Christopher Hojny (Eindhoven University of Technology)
Campus from above with Mandeville Building

FinEML Conference 2026

Financial Econometrics Meets Machine Learning
Image - University of Geneva
More information

Do you want to know more about the event? Contact the secretariat Econometrics at eb-secr@ese.eur.nl.

Compare @count study programme

  • @title

    • Duration: @duration
Compare study programmes