I am an economist at the Deutsche Bundesbank in Frankfurt am Main, with a
PhD in Finance from Goethe University Frankfurt.
My research focuses on monetary policy, macroeconometrics,
and market microstructure, with an emphasis on high-frequency identification
and the response of asset prices to news.
The views expressed on this page and in my papers are my own and do not necessarily reflect
those of the Deutsche Bundesbank or the Eurosystem.
Working Papers
Outages in sovereign bond markets
with Caspar Helmus · ECB Working Paper, 2024 (revised December 2025).
We exploit outages in sovereign bond markets as natural experiments. When the euro area futures
market goes down, trading volumes on the cash market decline, liquidity evaporates, and prices
deviate from fundamental values. Micro-level evidence reveals two mechanisms: the loss of a
hedging instrument reduces dealers’ intermediation capacity, and the missing benchmark
price widens information asymmetries for clients. Outages on the cash market, in contrast,
merely reduce futures trading activity, implying one-way price formation and liquidity
provision. Our findings highlight the trade-offs of market centralization, support cross-asset
learning over symmetric arbitrage models, and demonstrate how intermediaries impose limits to
arbitrage.
Paper (PDF)
Slides (London 2025)
Slides (EFA)
Slides (Mexico City)
Poster
BibTeX
Discussions of this paper:
Gabor Pinter (BIS, EFA 2024),
Martin Scheicher (ECB),
Davide Tomio.
Publications
What moves markets?
with Maik Schmeling ·
Journal of Monetary Economics, 145, 103560, 2024.
What share of asset price movements is driven by news? We build a large, time-stamped event
database covering scheduled macro news as well as unscheduled events and find that news
account for up to 35% of bond and stock price movements in the United States and euro area
since 2002. This suggests that a much larger share of return variation can be traced back to
observable news than previously thought. Moreover, we provide stylized facts about the type of
news that matter most for asset prices, spillover effects between the US and euro area, and the
predictability of monetary policy shocks.
Preprint (PDF)
Slides
Project page
Event database (CSV)
DOI
BibTeX
Information effects of euro area monetary policy
Economics Letters, 216, 110570, 2022.
This paper provides evidence for central bank information effects in the euro area.
ECB announcements seem to convey information not only about monetary policy, but also about
economic fundamentals. I separate these “information surprises” from
“pure policy surprises” via sign restrictions and find intuitive effects of both
surprises on a wide set of financial market prices, survey expectations and macroeconomic
aggregates. Both surprise series are updated and made publicly available (see the
Data section).
Paper (PDF)
Appendix
Slides
DOI
BibTeX
The response of asset prices to monetary policy shocks: Stronger than thought
with Lucia Alessi ·
Journal of Applied Econometrics, 34(5), 661–672, 2019.
Standard macroeconomic theory predicts rapid responses of asset prices to monetary policy
shocks. Small-scale VARs, however, often find sluggish and insignificant impact effects. Using
the same high-frequency instrument to identify monetary policy shocks, we show that a
large-scale Dynamic Factor Model finds overall stronger and quicker asset price reactions
compared to a benchmark VAR, both on euro area and US data. Our results suggest that
incorporating a sufficiently large information set is crucial to estimate monetary policy effects.
Paper (PDF)
DOI
BibTeX
The puzzling effects of monetary policy in VARs: Invalid identification or missing information?
Journal of Applied Econometrics, 34(1), 18–25, 2019.
Contractionary monetary policy shocks estimated from small-scale VARs often produce puzzles:
the price puzzle, delayed overshooting of exchange rates, and muted credit-spread responses.
I show that these puzzles are driven less by an invalid (recursive) identification scheme than
by a missing-information problem, and that incorporating a large information set via a Dynamic
Factor Model resolves them.
Slides
DOI
BibTeX