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Working Paper
Primer on the Forward-Looking Analysis of Risk Events (FLARE) Model: A Top-Down Stress Test Model
This technical note describes the Forward-Looking Analysis of Risk Events (FLARE) model, which is a top-down model that helps assess how well the banking system is positioned to weather exogenous macroeconomic shocks. FLARE estimates banking system capital under varying macroeconomic scenarios, time horizons, and other systemic shocks.
Discussion Paper
How Correlated is LIBOR with Bank Funding Costs?
In a recent article in the BIS Quarterly Review, authors Schrimpf and Sushko (2019) provide an overview of the LIBOR transition to risk-free rates led by the FSB Official Sector Steering Group (OSSG). They also argue that rates like LIBOR may be desirable because banks “require a lending benchmark that behaves not too differently from the rates at which they raise funding.”
Discussion Paper
Assessing the Resiliency of the Banking Industry to a Commercial Real Estate Price Shock
In order to assess the resiliency of the non-Dodd-Frank Act stress test (DFAST) bank holding companies (BHCs), this note uses the loan-loss rate information in the public disclosure documents from DFAST 2017 and 2018.
Working Paper
How Have Banks Been Managing the Composition of High-Quality Liquid Assets?
We study banks' post-crisis liquidity management. We construct time series of U.S. banks' holdings of high-quality liquid assets (HQLA) and examine how these assets have been managed in recent years to comply with the Liquidity Coverage Ratio (LCR) requirement. We find that, in becoming LCR compliant, banks initially ramped up their stock of reserve balances. However, once the requirement was met, some banks subsequently shifted the compositions of their liquid portfolios significantly. This raises the question: What drives the compositions of banks? HQLA? We show that a risk-return framework ...
Discussion Paper
Post-Crisis Lending by Large Bank Holding Companies
This note analyzes recent trends in loan growth at domestic bank holding companies (hereafter, banks) and reviews factors related to bank loan growth such as capital and loan write-downs.
Discussion Paper
New Accounting Framework Faces Its First Test: CECL During the Pandemic
On January 1, 2020, most large and mid-sized U.S. banks adopted Current Expected Credit Losses (CECL), a new accounting standard for estimating allowances. Allowance for credit losses is an estimate of the amount that a bank is unlikely to recover from a financial asset.
Discussion Paper
Why Are Net Interest Margins of Large Banks So Compressed?
This note analyzes recent trends in net interest margins (NIMs) at domestic bank holding companies.
Working Paper
The Impact of the Current Expected Credit Loss Standard (CECL) on the Timing and Comparability of Reserves
The new forward-looking credit loss provisioning standard, CECL, is intended to promote proactive provisioning as loan loss reserves can be conditioned on expectations of the economic cycle. We study the degree to which one modeling decision?expectations about the path of future house prices ? affects the size and timing of provisions for first-lien residential mortgage portfolios. While we find that provisions are generally less pro-cyclical compared to the current incurred loss standard, CECL may complicate the comparability of provisions across banks and time. Market participants will need ...
Working Paper
Scenario-based Quantile Connectedness of the U.S. Interbank Liquidity Risk Network
We characterize the U.S. interbank liquidity risk network based on a supervisory dataset, using a scenario-based quantile network connectedness approach. In terms of methodology, we consider a quantile vector autoregressive model with unobserved heterogeneity and propose a Bayesian nuclear norm estimation method. A common factor structure is employed to deal with unobserved heterogeneity that may exhibit endogeneity within the network. Then we develop a scenario-based quantile network connectedness framework by accommodating various economic scenarios, through a scenario-based moving average ...