Central banks

FEDS Paper: Options on Interbank Rates and Implied Disaster Risk(Revised)

08/14/2025 Federal Reserve Central banks

Hitesh Doshi, Hyung Joo Kim, and Sang Byung SeoThe identification of disaster risk has remained a significant challenge due to the rarity of macroeconomic disasters. We show that the interbank market can help characterize the time variation in disaster risk. We propose a risk-based model in which macroeconomic disasters are likely to coincide with interbank market failure. Using interbank rates and their options, we estimate our model via MLE and filter the short-run and long-run components of disaster risk.

FEDS Paper: The Banking Panic in New Mexico in 1924 and the Response of the Federal Reserve

08/13/2025 Federal Reserve Central banks

Mark CarlsonThere was a banking panic in New Mexico in early 1924 when about one-fourth of the banks in the state closed temporarily or permanently amid widespread runs. The Federal Reserve used both high profile and behind the scenes operations to calm the panic. This paper provides a history of this episode and explores how conspicuous and inconspicuous aspects of the Federal Reserve's response interacted to bolster confidence in the banking system.

FEDS Paper: Policy Rate Uncertainty and Money Market Funds (MMF) Portfolio Allocations

08/13/2025 Federal Reserve Central banks

Samin Abdullah and Manjola TaseWe find that an increase in policy rate uncertainty is associated with an increase in MMF portfolio allocations towards assets with shorter-dated maturities. We also find that the direction of uncertainty matters: MMF portfolio maturity is more sensitive to uncertainty when it relates to changes in expectations for a larger increase or a smaller decrease in the policy rate than when it relates to changes in expectations for a smaller increase or a larger decrease in the policy rate.

FEDS Paper: Recession Shapes of Regional Evolution: Factors of Hysteresis

08/13/2025 Federal Reserve Central banks

Hie Joo Ahn and Yunjong EoThis paper empirically investigates sources of hysteresis, focusing on downward nominal wage rigidity and the gender gap in the labor market, using U.S. state-level payroll employment data. Employing a Bayesian Markov-switching model of business cycles, we identify U-shaped and L-shaped recessions, which correspond to quick recoveries and hysteresis, respectively.

IFDP Paper: Expanding the Labor Market Lens: Two New Eurozone Labor Indicators

08/13/2025 Federal Reserve Central banks

Ece Fisgin, Joaquin Garcia-Cabo, Alex Haag, and Mitch LottWe present a principal component analysis of euro area labor market conditions by combining information from 22 labor market indicators into two comprehensive series. These two novel indicators provide a systematic view of the current state and forward-looking direction of the euro-area labor market, respectively, and demonstrate superior forecasting performance compared to existing indicators.

Higher-order exposures

08/11/2025 European Central Bank Central banks

Traditional exposure measures focus on direct exposures to evaluate the losses an institution is exposed to upon the default of a counterparty. Since the Global Financial Crisis of 2007-2008, the importance of indirect exposures via common asset holdings is increasingly recognized. Yet direct and indirect exposures do not to capture the losses that result from shock propagation and amplification following the counterparty's default. In this paper, we introduce the concept of \higher-order exposures" to refer to these spill-over losses and propose a way to formalize and quantify these.

Higher-order exposures

08/11/2025 European Central Bank Central banks

Traditional exposure measures focus on direct exposures to evaluate the losses an institution is exposed to upon the default of a counterparty. Since the Global Financial Crisis of 2007-2008, the importance of indirect exposures via common asset holdings is increasingly recognized. Yet direct and indirect exposures do not to capture the losses that result from shock propagation and amplification following the counterparty's default. In this paper, we introduce the concept of \higher-order exposures" to refer to these spill-over losses and propose a way to formalize and quantify these.

FEDS Paper: Linear and nonlinear econometric models against machine learning models: realized volatility prediction

08/08/2025 Federal Reserve Central banks

Rehim KilicThis paper fills an important gap in the volatility forecasting literature by comparing a broad suite of machine learning (ML) methods with both linear and nonlinear econometric models using high-frequency realized volatility (RV) data for the S&P 500. We evaluate ARFIMA, HAR, regime-switching HAR models (THAR, STHAR, MSHAR), and ML methods including Extreme Gradient Boosting, deep feed-forward neural networks, and recurrent networks (BRNN, LSTM, LSTM-A, GRU).

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