Milen
Arro-Cannarsa

PhD Candidate in Economics, University of Bern
Research Associate, Study Center Gerzensee
Foundation of the Swiss National Bank

My research interests lie in monetary policy and business-cycle analysis, with a focus on the Swiss economy.

Contact: milen.arro@szgerzensee.ch

Portrait of Milen Arro-Cannarsa
Photo coming soon
01

About

I am a monetary economist, completing my PhD under the supervision of Prof. Pierpaolo Benigno.

My job market paper gives the Swiss safe-haven story a structural framework. In the model, foreign appetite for a country's liquid assets produces appreciation, disinflation, and a liquidity trap. The central bank's balance sheet becomes a second policy instrument against it. In plain terms, the paper answers two questions every Swiss institution lives with: why Swiss interest rates get stuck at low levels, and what moves the franc in a crisis.

The other half of my work is empirical: an SNB working paper on machine-learning nowcasts of Swiss GDP, and a year in the SNB's business-cycle analysis unit, where I maintained the short-term forecasting models and carried sole responsibility for the foreign-trade forecasts for six months. Theory taught me how business cycles work, whereas forecasting made me fast and good with data.

Research fields

Monetary economics
International macroeconomics
Quantitative macroeconomics
Business-cycle analysis

Methods

Open-economy New Keynesian (DSGE) models
Machine learning & nowcasting
Time-series analysis (VAR, state-space models)
Optimal policy analysis

Languages

German (C2) · English (C2)
Estonian (native)
Italian (B1) · Russian (B1)

02

Research

Job market paper · 2026

Flight to Liquidity: Monetary Policy in an Open Economy

Safe-haven economies experience global crises as a package: foreign demand for their assets surges, the currency appreciates, inflation falls, and the policy rate is driven to its lower bound. This paper adds one ingredient to an open-economy New Keynesian model, domestic assets that provide liquidity services to the rest of the world, and shows that this single addition makes foreign demand a macroeconomic shock and the supply of the liquid asset a second monetary policy instrument. A modest expansion of that supply stabilizes inflation and output exactly and prevents the liquidity trap, while pegging the exchange rate requires an operation ten times as large and sets off an inflationary boom.

Draft available on request

SNB Working Papers 2024-06 · Swiss National Bank

Nowcasting GDP: What Are the Gains from Machine Learning Algorithms?

with Rolf Scheufele

We compare penalized regressions (LASSO, ridge, elastic net), tree ensembles (bagging, random forest, gradient boosting), and support vector regression for nowcasting Swiss GDP, using a mixed-frequency data set of more than 1,100 series that accounts for publication lags. After the Great Recession, all machine-learning methods beat the univariate benchmark by up to 28% in out-of-sample RMSE; ridge, elastic net, and SVR perform best.

Work in progress

Optimal Supply of Liquidity

I study the optimal supply of safe, liquid assets in an open economy, where the government trades off providing liquidity to domestic agents against extracting seigniorage from the rest of the world.

In progress
03

Curriculum vitae

Download CV (PDF)

Last updated July 2026

04

References

Prof. Pierpaolo Benigno

Professor of Economics
University of Bern

pierpaolo.benigno@unibe.ch
benigno.ch

Dr. Matthias Lutz

Economic Advisor
Swiss National Bank

matthias.lutz@snb.ch

Prof. Martin Brown

Director
Study Center Gerzensee

martin.brown@szgerzensee.ch
sites.google.com/view/martinbrown