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676 Results

Real Time Detection of Structural Breaks in GARCH Models

Staff Working Paper 2009-31 Zhongfang He, John M. Maheu
A sequential Monte Carlo method for estimating GARCH models subject to an unknown number of structural breaks is proposed. Particle filtering techniques allow for fast and efficient updates of posterior quantities and forecasts in real time.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C11, C15, C2, C22, C5, C53

More Than Words: Fed Chairs’ Communication During Congressional Testimonies

Staff Working Paper 2022-20 Michelle Alexopoulos, Xinfen Han, Oleksiy Kryvtsov, Xu Zhang
We measure soft information contained in the congressional testimonies of U.S. Federal Reserve Chairs and analyze its effect on financial markets. Increases in the Chair’s text-, voice-, or face-emotion indices during these testimonies generally raise stock prices and lower their volatility.

Risk and State-Dependent Financial Frictions

Staff Working Paper 2022-37 Martin Harding, Rafael Wouters
Using a nonlinear New Keynesian model with a financial accelerator, we show that financial frictions generate large state-dependent amplification effects. Shocks propagate more strongly in periods of financial stress. We propose an endogenous regime-switching DSGE framework for efficient estimation and improved model fit.

Decomposing Systemic Risk: The Roles of Contagion and Common Exposures

Staff Working Paper 2024-19 Grzegorz Halaj, Ruben Hipp
We examine systemic risks within the Canadian banking sector, decomposing them into three contribution channels: contagion, common exposures, and idiosyncratic risk. Through a structural model, we dissect how interbank relationships and market conditions contribute to systemic risk, providing new insights for financial stability.

Is Climate Transition Risk Priced into Corporate Credit Risk? Evidence from Credit Default Swaps

Staff Working Paper 2023-38 Andrea Ugolini, Juan C. Reboredo, Javier Ojea Ferreiro
We study whether the credit derivatives of firms reflect the risk from climate transition. We find that climate transition risk has asymmetric and significant economic impacts on the credit risk of more vulnerable firms, and negligible effects on other firms.
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