Working Papers:
presented at: 9th Annual Workshop of the European System of Central Banks (ESCB) – Research Cluster 3, Bundesbank, Frankfurt, Nov 2025, ChaMP Special NBFI Workshop, SAFE, Frankfurt, Nov 2025, 2nd SAFE-CEPR Frankfurt Hub International Conference, SAFE, Frankfurt, Sept 2025
Abstract. This paper studies the transmission of monetary policy to lending rates and loan volumes using granular loan-level data. We document substantial heterogeneity in interest rate pass-through across lender types: rates on loans issued by non-bank lenders (NBLs) increase by approximately 0.75 percentage points following a 1 percentage point policy rate hike, compared to just 0.20 for banks, while credit unions exhibit little to no response. These differences are stable across loan segments. On the volume side, NBL lending contracts sharply during monetary tightening, while bank lending declines only modestly and credit unions sometimes expand credit. The patterns reflect underlying funding structures, with NBLs relying on short-term wholesale funding and banks and credit unions primarily funded by stable retail deposits. These results underscore the importance of lender heterogeneity in shaping the transmission of monetary policy.
Inflation Expectations and Term Premium, (2024) with Raf Wouters
presented at: EABCN Conference: Advances in monetary policy and the natural rate of interest, EUI, Oct 2025 (scheduled), 55th Annual Conference of the Money, Macro & Finance Society, University of Manchester, Sept 2024, CEBRA Annual Meeting 2024, ECB, Aug 2024, RES Annual Conference, Queen's University Belfast, March 2024, ASSA 2024 Annual Meeting, San Antonio, Jan 2024 (scheduled), National Bank of Belgium, April 2023, 8th annual conference of the Society for Economic Measurement, Milan, June 2023, De Nederlandsche Bank, Jan 2023, Annual Congress of the EEA, Bocconi, Milan, Aug 2022, Annual Meeting of the Austrian Economic Association, University of Vienna, Vienna, Sept 2022, Bank of Portugal, Aug 2022
Abstract. We study the drivers of the co-movement in inflation expectations and term premium that we observe in the data. Since these two variables are unobserved, their empirical estimates are based on different structural models. We build a general equilibrium model that is consistent with the empirical evidence and incorporates the endogenous dynamics of both variables. To further account for the fact that these series are unobserved, we introduce information frictions. We find that the drivers of the co-movement switch from the actions of the Fed to decrease inflation to shocks originated in financial markets. We interpret this as follows: increased demand for safe assets drove term premiums down lowering expectations about future growth and, consequently, about inflation. This switch occurs as the central bank faces challenges in communicating changes in the target effectively due to the environment of information frictions.
How much do Banks Hide? (2024) with Roman Goncharenko
R&R at the Journal of Money, Credit and Banking
presented at: De Nederlandsche Bank, Oct 2024 , CERGE-EI, Nov 2023 (scheduled)
Abstract. We develop a simple quantitative model of a bank to study hidden loan losses under regulatory scrutiny. The model incorporates stochastic regulatory audit, enabling temporary concealment of losses. Calibration shows that banks typically hide about 0.8% of loan portfolios as defaulted loans. Following a contractionary aggregate shock, this rises sharply to 2.9% staying elevated for four years. We further show that hidden defaults heighten the risk of bank failure and increases its expected costs.