Do economic incentives govern information diffusion in markets? Using international banks’ advisory activities in corporate takeovers as their source of private information, we show in supervisory data that banks with closer ties to the target, but not the acquirer, advisor trade profitably in the target’s stock prior to the deal announcement. This trading behavior is associated with a higher premium paid by the acquirer without compromising the deal success. As the incentives of informed traders are aligned only with those of the target shareholders, which are represented by the target advisor, our evidence suggests strategic information transmission among these banks.

Real estate is a capstone connection between various economic agents and markets. It is the main store of household wealth, serves as collateral for mortgage loans in the banking system, aids the transmission of monetary policy, and can propagate financial crises when overvalued. Yet comparable house-price data across the European Union (EU) and the euro area is unavailable, which hinders the design and evaluation of common monetary and economic policy that operates across heterogeneous housing markets. We derive monthly subnational European Real Estate Indicators (EREI) from online residential property advertisements in 16 European countries. The release covers April 2024 to June 2026 and contains 48,168 region-month-segment observations for 1,154 NUTS 3 regions, aggregating more than 43 million listing observations across the monthly sale and rental cross-sections. Each region-month segment reports the number of advertisements and summary statistics for asking prices per square meter and listing durations. The release also includes sale-segment indices for Europe, the euro area, and individual countries. Thirteen covered countries are EU members, which represented 85% of EU-27 gross domestic product in 2024. EREI data support research on a wide range of socio-economic phenomena associated with real estate dynamics, such as the evaluation of monetary policy or macroprudential policy effects on financial stability.

We analyze how the establishment of the Single Supervisory Mechanism (SSM) relates to patterns in banks’ lending activities, risk outcomes, and granular risks within the banking system. Using data on euro area banks from 2010 to 2021, we estimate idiosyncratic shocks to banks’ loan growth to construct a measure of loan growth volatility and to compute the “Banking Granular Residual.” Banks under SSM supervision exhibit lower volatility in loan portfolio growth, indicating more stable lending dynamics. Furthermore, the implementation of the SSM is associated with positive spillover effects on non-SSM banks’ lending and a weaker relationship between granular banking shocks and economic growth.

We study how deposit competition affects a bank's decision to securitize mortgages. Exploiting the state-specific removal of deposit market caps across the U.S. as a source of competition, we find a 7.1 percentage point increase in the probability that banks securitize mortgage loans. This result is driven by an 11 basis point increase in deposit costs and corresponding reductions in banks' deposit holdings. Our results are strongest among banks that rely more on deposit funding. These findings highlight a hitherto undocumented and unintended regulatory cause that motivates banks to adopt the originate-to-distribute model.

Syndicated loan data provided by DealScan is an essential input in banking research to answer urging questions on bank lending, e.g., in the presence of financial or geopolitical shocks or climate change. However, many data options raise the question of how to choose the estimation sample. We employ a standard regression framework analyzing bank lending during the financial crisis of 2007/08 to study how conventional but varying usages of DealScan affect the estimates. The key finding is that the direction of coefficients remains relatively robust. However, statistical significance depends on the data and sampling choice, and we provide guidelines for applied research.