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3045 Results

Anticipating changes in bank capital buffer requirements

Staff Analytical Note 2025-27 Josef Schroth
Time-varying capital buffer requirements are a powerful tool that allow bank regulators to avoid severe financial stress without the cost of imposing very high levels of capital. However, this tool is only effective if banks understand how it is used. I present a model that banks and financial market participants can use to anticipate how time-varying capital buffer requirements change over time.

Is This Normal? The Cost of Assuming that Derivatives Have Normal Returns

Staff Working Paper 2024-46 Radoslav Raykov
Derivatives exchanges often determine collateral requirements, which are fundamental to market safety, with dated risk models assuming normal returns. However, derivatives returns are heavy-tailed, which leads to the systematic under-collection of collateral (margin). This paper uses extreme value theory (EVT) to evaluate the cost of this margin inadequacy to market participants in the event of default.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions, Financial stability JEL Code(s): G, G1, G10, G11, G2, G20

What People Believe About Monetary Finance and What We Can(’t) Do About It: Evidence from a Large-Scale, Multi-Country Survey Experiment

Staff Working Paper 2023-36 Cars Hommes, Julien Pinter, Isabelle Salle
We conduct a large-scale survey to shed light on what people believe about public finance. An experiment demonstrates that central bank communication can persistently shift views on monetary financing. It further suggests that views on monetary financing impact support for fiscal discipline.
Content Type(s): Staff research, Staff working papers Research Topic(s): Central bank research, Fiscal policy, Monetary policy JEL Code(s): C, C8, C83, E, E5, E58, E6, E60, E62, E7, E70, G, G5, G53, H, H3, H31

Tail Index Estimation: Quantile-Driven Threshold Selection

The most extreme events, such as economic crises, are rare but often have a great impact. It is difficult to precisely determine the likelihood of such events because the sample is small.

Trading on Long-term Information

Staff Working Paper 2020-20 Corey Garriott, Ryan Riordan
Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.
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