Financial institutions

Liquidity dependencies in the euro area

This study investigates to what extent the significant liquidity injections by the ECB over the past 15 years may have created a dependency by banks on central bank liquidity itself. Following Acharya et al. (2024), I examine whether the ECB's liquidity provision changed banks' incentives to increase liquid deposits, potentially heightening their susceptibility to liquidity shocks.

From purchases to exit: central bank interventions in corporate debt markets

Central banks increasingly act as market-makers-of-last-resort, yet the impact and exit of such interventions remain poorly understood. Using euro-area data, we analyze the cycle of market freeze, intervention, and exit in short-term debt markets. A run on money market funds (MMFs) triggered a collapse in these markets in March 2020. Firms replaced only 27% of lost funding through credit lines. The European Central Bank intervened, fully replacing MMFs for some firms and allowing them to issue more debt at lower rates and longer maturities.

Rational inattention during an RCT

We introduce an information provision experiment into a standard dynamic rational inattention model. We derive analytical results about how the treatment effect varies with characteristics of the environment and the individual. We use these results to discuss findings in the empirical literature on information provision experiments that can be explained by rational inattention of survey respondents and what this interpretation implies about behavior outside the survey.

Bank lending rates and the riskiness of euro area household loans

I assess the impact of the recent hike in bank lending rates on euro area retail borrowers using a novel microsimulation framework that updates household-level data of a recent representative survey with up-to-date macro-financial information. The key novelty is that existing mortgages are gradually repaid, and new ones are extended, a feature necessary for medium-term simulations in a period of sizable credit growth. Since lending rates have increased, debt servicing has become more demanding, and the simulated share of distressed loans has increased.

Beware of large shocks! A non-parametric structural inflation model

We propose a novel empirical structural inflation model that captures non-linear shock transmission using a Bayesian machine learning framework that combines VARs with non-linear structural factor models. Unlike traditional linear models, our approach allows for non-linear effects at all impulse response horizons. Identification is achieved via sign, zero, and magnitude restrictions within the factor model. Applying our method to euro area energy shocks, we find that inflation reacts disproportionately to large shocks, while small shocks trigger no significant response.

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