European Central Bank

Enhancing GDP nowcasts with ChatGPT: a novel application of PMI news releases

This study involves tasking ChatGPT with classifying an “activity sentiment score” based on PMI news releases. It explores the predictive power of this score for euro area GDP nowcasting. We find that the PMI text scores enhance GDP nowcasts beyond what is embedded in ECB/Eurosystem Staff projections and Eurostat’s first GDP estimate. The ChatGPT-derived activity score retains its significance in regressions that also include the composite output PMI diffusion index.

Climate change, firms and aggregate productivity

Our paper uses a general equilibrium framework to examine the effects of temperature on firm-level demand, productivity and input allocative efficiency. Using data from Italian firms and detailed climate data, it uncovers a sizeable negative effect of extreme temperatures on firm-level productivity. Based on these estimates, the model generates aggregate productivity losses from local temperature fluctuations that are higher than previously thought, ranging from 0.60% to 6.82% depending on the scenario and the extent of adaptation.

A new model to forecast energy inflation in the euro area

Energy inflation is a major source of headline inflation volatility and forecast errors, therefore it is critical to model it accurately. This paper introduces a novel suite of Bayesian VAR models for euro area HICP energy inflation, which adopts a granular, bottom-up approach – disaggregating energy into subcomponents, such as fuels, gas, and electricity. The suite incorporates key features for energy prices: stochastic volatility, outlier correction, high-frequency indicators, and pre-tax price modelling.

From losses to buffer - calibrating the positive neutral CCyB rate in the euro area

We study the impact of cyclical systemic risks on banks’ profitability in the euro area within a panel quantile regression model, with the ultimate goal to inform the calibration of the Countercyclical Capital buffer (CCyB). Compared to previous studies, we augment our model to control for unobserved bank-specific characteristics and year-fixed effects and find a lower degree of heterogeneity in the estimated effects across the conditional distribution of bank returns on assets.

Organized crime and banks: assessing the effects of anti-mafia police actions on lending

This study examines how dismantling Mafia-connected firms affects banks’ lending practices. Using a unique dataset of 667 such firms and loan-level data from the European Central Bank, our analysis shows that anti-Mafia operations precede an increase in bank loans to businesses that operate in areas that are directly affected by these actions. Specifically, overall loan volumes increase by approximately 0.8 percent, which translates to an increase of €1.38 billion in bank loans to these firms.

Private safe asset supply and financial instability

This article studies the supply of private safe assets by banks and its implications for financial stability. Banks originate loans and improve loan quality through hidden screening efforts. They can then create safe assets by issuing debt backed by the safe payoffs, from both loans they have originated and a diversified pool of loans from other banks. The interaction between banks’ screening efforts and diversification decisions determines the volume of safe assets they supply.

Pricing or panicking? Commercial real estate markets and climate change

This paper provides the first study of climate risk pricing in euro area commercial real estate markets. We pay particular attention to changes in risk pricing over time, as a sudden market shift may significantly amplify the financial stability and macroeconomic implications of these risks. We find evidence of investors applying a penalty to buildings exposed to physical risk and that this penalty has increased significantly over the 2007-2023 period we study, particularly for properties exposed to risks associated with climate change.

The poor, the rich, and the credit channel of monetary policy

Monetary policy can have contrasting effects on economic inequality via distinct channels. We examine the effect working via the credit channel, whereby monetary policy induces heterogeneous access to credit for business owners based on their wealth. Using unique data on business loan applications from small firms, we find that monetary expansions increase the bank’s likelihood to approve loan applications, particularly so for low-wealth entrepreneurs, translating to higher future income and wealth.

The impact of monetary policy and macroprudential policy on corporate lending rates in the Euro area

We examine the differential impact of monetary policy and macroprudential policy on bank lending rates in the euro area, using granular corporate loan-level data for the period 2019-2023. We find three results: First, consistent with the predictions of a stylized theoretical model of bank lending rates, monetary policy exerts an order of magnitude larger impact on lending rates than macroprudential policy. Second, the effectiveness of monetary policy transmission weakens when interest rates are close to or below zero.

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.

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