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Keywords:Principal components 

Working Paper
Are Shadow Rate Models of the Treasury Yield Curve Structurally Stable?

We examine the structural stability of Gaussian shadow rate term structure models of Treasury yields over a period that includes the time during which the U.S. policy rate was at its effective lower bound. After a conceptual discussion of several potential sources of a structural break in the context of the shadow rate model, we document various pieces of evidence for structural instability based on predictive tests and Lagrange multiplier tests, as well as with separate estimations of the pre-ELB and post-ELB subsamples. In order to overcome the difficulties associated with the latent-factor ...
Finance and Economics Discussion Series , Paper 2020-061

Working Paper
What Drives Bank Peformance?

Focusing on some key metrics of bank performance, such as revenues and loan charge-off rates, we estimate the fraction of the observed variation in these metrics that can be attributed to changes in economic conditions. Macroeconomic factors can explain the preponderance of the fluctuations in charge-off rates. By contrast, bank-specific, idiosyncratic factors account for a sizable share of the variation in bank revenues. These results point to importance of bank-specific business models as a driver of performance.
Finance and Economics Discussion Series , Paper 2021-009

Working Paper
Simultaneous Spatial Panel Data Models with Common Shocks

I consider a simultaneous spatial panel data model, jointly modeling three effects: simultaneous effects, spatial effects and common shock effects. This joint modeling and consideration of cross-sectional heteroskedasticity result in a large number of incidental parameters. I propose two estimation approaches, a quasi-maximum likelihood (QML) method and an iterative generalized principal components (IGPC) method. I develop full inferential theories for the estimation approaches and study the trade-off between the model specifications and their respective asymptotic properties. I further ...
Supervisory Research and Analysis Working Papers , Paper RPA 17-3

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