Conservatorship, quantitative easing, and mortgage spreads: a new multi-equation score-driven model of policy actions
Author:
Affiliation:
1. School of Business , Universidad Francisco Marroquín , Guatemala City , 01010 , Guatemala
2. School of Law , University of Leeds , Leeds LS2 9JT , UK
3. Investment Office , New York University , New York NY 10012 , USA
Abstract
Publisher
Walter de Gruyter GmbH
Subject
Economics and Econometrics,Social Sciences (miscellaneous),Analysis,Economics and Econometrics,Social Sciences (miscellaneous),Analysis
Link
https://www.degruyter.com/document/doi/10.1515/snde-2021-0066/pdf
Reference53 articles.
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2. Barth, J. R., T. Li, and T. Phumiwasana. 2009. “The Credit Crunch and Yield Spreads.” In RBS Reserve Management Trends 2009, edited by R. Pringle, and N. Carver, 35–52. London: Central Banking Publications.
3. Bhar, R., A. G. Malliaris, and M. Malliaris. 2015. “The Impact of Large-Scale Asset Purchases on the S&P 500 Index, Long-Term Interest Rates and Unemployment.” Applied Economics 47 (55): 6010–9. https://doi.org/10.1080/00036846.2015.1061646.
4. Blasques, F., S. J. Koopman, and A. Lucas. 2015. “Information-Theoretic Optimality of Observation-Driven Time Series Models for Continuous Responses.” Biometrika 102 (2): 325–43. https://doi.org/10.1093/biomet/asu076.
5. Blasques, F., A. Lucas, and A. van Vlodrop. 2021. “Finite Sample Optimality of Score-Driven Volatility Models: Some Monte Carlo Evidence.” Econometrics and Statistics 19: 47–57.
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