We integrate a high-frequency monetary event study into a mixed-frequency macro-finance model and structural estimation. The model and estimation allow for jumps at Fed announcements in investor beliefs, providing granular detail on why markets react to central bank communications. We find that...

This paper investigates macroprudential policy effects on bank systemic risk and the role of inflation targeting in such effects. Using bank-level data for 45 countries comprising various monetary and exchange rate regimes, our regime-dependent dynamic panel regression results point to...

Purpose - This paper aims to explore the influence of the COVID-19 outbreak and the Government’s disease control measures on the stock returns and liquidity of Vietnam-listed companies in the financial services sector. Design/methodology/approach - The authors have conducted a panel data...

We study bank supervision by combining a theoretical model that distinguishes supervision from regulation and a novel dataset on work hours of Federal Reserve supervisors. We highlight the trade-offs between the benefits and costs of supervision and use the model to interpret the relationship...

We measure bank supervision using the database of supervisory issues, known as matters requiring attention or immediate attention, raised by Federal Reserve examiners to banking organizations. The volume of supervisory issues increases with banks' asset size, especially for the largest and most...