Central banks

FEDS Paper: Skill and Efficiency in the U.S. Mutual Fund Industry

Dong Hwan Oh and Andrew J. PattonWe propose a new measure of mutual fund manager ability: "efficiency" is the ability to accrue the risk premium associated with a risk factor. The familiar abnormal return, or alpha, is shown to be the sum of two distinct measures of ability: "aggregate efficiency" which is the beta-weighted sum of the fund's (in)efficiencies across risk factors, and "skill," the component that is unrelated to factor exposures. Using a panel of U.S.

Firm level heterogeneity and the impact of monetary policy on labour demand

Monetary policy asymmetrically affects the response of firms’ employment to an output shock and plays a role in cushioning employment adjustment over the business cycle. Combining annual firm-level data until 2020 with quarterly firm-level data until 2023 and high-frequency monetary policy surprises, we show that for a given change in output, monetary policy influences the extent to which firms hold on to labour, or “labour hoard”.

Stockholding in Europe: Evidence from the Consumer Expectations Survey

We examine recent changes in stock market participation using newly available survey data from eleven euro area countries over the period 2020–2024. The evidence points to substantial turnover, with around 10% of non-stockholders entering the market each year, and more than 20% of stockholders exiting. New entrants tend to have lower education, income, financial literacy, and risk tolerance than established investors, indicating a shift in the composition of market participants. We also highlight the growing importance of cryptocurrency investments among retail investors.

Identifying relationship-level effects using covariance restrictions

We propose a new model in which relationship-specific effects or shocks are identified in a bipartite network under mild covariance restrictions, generalizing the influential Abowd et al. (1999) framework. For example, separate demand shocks are identified for each bank from which a firm borrows. We show how previous approaches break down when confronted with such heterogeneity, while our novel identification strategy yields a simple estimator that is consistent and asymptotically normal, under weaker network density assumptions than previous approaches.

Employment effects of EU-ETS prices

This paper studies the employment effects of carbon pricing under the European Union’s Emissions Trading System (EU-ETS). I refer to standard methods from the literature to define and measure the environmental properties of jobs along two dimensions: how “green” a job is, and how polluting it is. I then leverage a series of shocks to EU-ETS prices to estimate their dynamic impacts on employment. The panel local projections estimates reveal that an exogenous 1% increase in EU-ETS prices leads to a roughly 0.2% decline in employment after one and a half years.

Sequential solution for DSGE models with deep neural networks

This paper develops a sequential deep learning algorithm for solving dynamic stochastic general equilibrium (DSGE) models. The algorithm trains a deep neural network to approximate the model’s policy functions across four progressive phases: steady-state anchoring, exploration around the steady state, simulation on the ergodic set, and Monte Carlo integration of stochastic expectations.

Financial stability in the age of artificial intelligence: the role of algorithmic architecture

Artificial intelligence (AI) is rapidly transforming financial decision-making. To explore the implications for financial stability we ran simulation-based experiments on two different AI architectures. We found that Q-learning algorithms, a form of reinforcement learning, achieved a high degree of coordination, but were prone to bank run-like dynamics. In contrast, large language models , which rely on contextual reasoning, were less prone to such runs but generated heterogeneous and unpredictable behaviour.

External finance premium: market finance versus bank finance

This paper is the first to simultaneously examine firms’ market-based and bank-based external finance premia and investigate the behavior of corporate bond markets in the United States and the euro area, with a focus on country- and state-level heterogeneity in monetary unions. Using a unique micro-level dataset, we show that market finance premia, measured with corporate bond spreads, are remarkably similar in both the euro area and the US in terms of how little they depend on the issuer’s state or country of origin.

The supply chain spillovers of private equity buyouts

We study how private equity (PE) buyouts propagate through supply chains using unique firm-to-firm transactions data from Belgium. In normal times, suppliers of PE-backed firms outperform their peers by 5%–10% in employment and sales growth, primarily due to increased input demand from PE-backed customers rather than knowledge spillovers or other mechanisms. In economic downturns, however, this outperformance is attenuated and suppliers compress markups by around 8% as PE investors intensify bargaining pressure and reconfigure supply chains to extract cost savings.

The role of judgement in supervisory scores and additional capital requirements assigned to banks

We empirically analyse the role of judgement in assigning overall scores by the euro area supervisors as part of the yearly Supervisory Review and Evaluation Process (SREP), which evaluates banks’ risks and sets supervisory actions. We also analyse its role in shaping the drivers of the Pillar 2 capital requirement (P2R) that banks must fulfil. We find that supervisors actively adjust the weight of the components of the overall score to reflect qualitative information, thereby smoothing fluctuations in the final assessment.

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