Federal Reserve

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

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.

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

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).

FEDS Paper: Mega Firms and New Technological Trajectories in the U.S.

Joonkyu Choi, Serguey Braguinsky, Yuheng Ding, Karam Jo, Seula KimWe provide evidence that mega firms have played an increasingly important role in shaping new technological trajectories in recent years. While the share of novel patents—defined as patents introducing new combinations of technological components— produced by mega firms declined until around 2000, it has rebounded sharply since then.

FEDS Paper: Indirect Credit Supply: How Bank Lending to Private Credit Shapes Monetary Policy Transmission

Sharjil Haque, Young Soo Jang, and Jessie Jiaxu WangThis paper examines how banks’ financing of nonbank lenders affects monetary policy transmission. Using supervisory bank loan-level data and deal-level private credit data, we document an intermediation chain: Banks lend to Business Development Companies (BDCs)—large private credit providers—which then lend to firms.

FEDS Paper: Discussion of “Dynamic Causal Effects in a Nonlinear World: the Good, the Bad, and the Ugly”

Edward P. Herbst and Benjamin K. JohannsenThis comment discusses Kolesár and Plagborg-Møller's (2025) finding that the standard linear local projection (LP) estimator recovers the average marginal effect (AME) even in nonlinear settings. We apply and discuss a subset their results using a simple nonlinear time series model, emphasizing the role of the weighting function and the impact of nonlinearities on small-sample properties.

FEDS Paper: Systemic Credit Risk Premium: Insights from Credit Derivatives Markets(Revised)

Kiwoong Byun, Baeho Kim, and Dong Hwan OhThis study examines the market-implied premiums for bearing systemic credit risk by analyzing credit derivatives on the CDX North American Investment Grade portfolio from September 2005 to March 2021. We construct systemic credit risk premium (SCRP) as the difference between the observed prices of multi-name super-senior tranches and their synthetic counterparts valued from historical asset correlations implied by single-name CDS spreads.

FEDS Paper: From Bank Lending Standards to Bank Credit Conditions: An SVAR Approach

Vihar Dalal, Daniel A. Dias, and Pinar UysalThis paper uses a structural vector autoregressive (SVAR) model—identified with an external monetary policy instrument and sign restrictions—to derive a measure of bank credit conditions from changes in bank lending standards. The model incorporates data on interest rates, bank credit, and survey-based measures of bank lending standards to identify monetary policy, credit demand, and credit supply shocks.

FEDS Paper: The Theory of Financial Stability Meets Reality

Nina Boyarchenko, Kinda Hachem, and Anya KleymenovaA large literature at the intersection of economics and finance offers prescriptions for regulating banks to increase financial stability. This literature abstracts from the discretion that accounting standards give banks over financial reporting, creating a gap between the information assumed to be available to regulators in models of optimal regulation and the information available to regulators in reality.

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