Belief Shocks and Implications of Expectations About Growth‐at‐Risk
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DOI: 10.1002/jae.3117
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- Krüger, Fabian & Nolte, Ingmar, 2016. "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 172-186.
- Michele Lenza & Giorgio E. Primiceri, 2022. "How to estimate a vector autoregression after March 2020," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 688-699, June.
- Juan F. Rubio-Ramírez & Daniel F. Waggoner & Tao Zha, 2010.
"Structural Vector Autoregressions: Theory of Identification and Algorithms for Inference,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 665-696.
- Juan F. Rubio-Ramirez & Daniel F. Waggoner & Tao Zha, 2008. "Structural vector autoregressions: theory of identification and algorithms for inference," FRB Atlanta Working Paper 2008-18, Federal Reserve Bank of Atlanta.
- Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2012.
"Disagreement Among Forecasters in G7 Countries,"
The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 1081-1096, November.
- Jonas Dovern & Ulrich Fritsche & Jiri Slacalek, 2009. "Disagreement among Forecasters in G7 Countries," Macroeconomics and Finance Series 200906, University of Hamburg, Department of Socioeconomics.
- Dovern, Jonas & Fritsche, Ulrich & Slacalek, Jiri, 2009. "Disagreement among forecasters in G7 countries," Working Paper Series 1082, European Central Bank.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2024.
"Investigating Growth-at-Risk Using a Multicountry Nonparametric Quantile Factor Model,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(4), pages 1302-1317, October.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Investigating Growth at Risk Using a Multi-country Non-parametric Quantile Factor Model," Papers 2110.03411, arXiv.org.
- Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2023. "Investigating Growth-at-Risk Using a Multicountry Non-parametric Quantile Factor Model," CEPR Discussion Papers 18549, C.E.P.R. Discussion Papers.
- Todd Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Investigating Growth at Risk Using a Multi-country Non-parametric Quantile Factor Model," Working Papers 2307, University of Strathclyde Business School, Department of Economics.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2023.
"Tail Forecasting With Multivariate Bayesian Additive Regression Trees,"
International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(3), pages 979-1022, August.
- Todd E. Clark & Florian Huber & Gary Koop & Massimiliano Marcellino & Michael Pfarrhofer, 2021. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," Working Papers 21-08R, Federal Reserve Bank of Cleveland, revised 12 Jul 2022.
- Clark, Todd & Huber, Florian & Koop, Gary & Marcellino, Massimiliano & Pfarrhofer, Michael, 2022. "Tail Forecasting with Multivariate Bayesian Additive Regression Trees," CEPR Discussion Papers 17461, C.E.P.R. Discussion Papers.
- Adam, Klaus & Matveev, Dmitry & Nagel, Stefan, 2021.
"Do survey expectations of stock returns reflect risk adjustments?,"
Journal of Monetary Economics, Elsevier, vol. 117(C), pages 723-740.
- Klaus Adam & Dmitry Matveev & Stefan Nagel, 2018. "Do Survey Expectations of Stock Returns Reflect Risk-Adjustments?," NBER Working Papers 25122, National Bureau of Economic Research, Inc.
- Adam, Klaus & Nagel, Stefan & Matveev, Dmitry, 2018. "Do Survey Expectations of Stock Returns Reflect Risk-Adjustments?," CEPR Discussion Papers 13213, C.E.P.R. Discussion Papers.
- Adam, Klaus & Matveev, Dmitry & Nagel, Stefan, 2018. "Do survey expectations of stock returns reflect risk-adjustments?," CFS Working Paper Series 600, Center for Financial Studies (CFS).
- Klaus Adam & Dmitry Matveev & Stefan Nagel, 2018. "Do Survey Expectations of Stock Returns Reflect Risk-Adjustments?," CESifo Working Paper Series 7285, CESifo.
- Klaus Adam & Dmitry Matveev & Stefan Nagel, 2019. "Do Survey Expectations of Stock Returns Reflect Risk Adjustments?," Staff Working Papers 19-11, Bank of Canada.
- Klaus Adam & Dmitry Matveev & Stefan Nagel, 2019. "Do Survey Expectations of Stock Returns Reflect Risk-Adjustments?," 2019 Meeting Papers 641, Society for Economic Dynamics.
- Born, Benjamin & Dovern, Jonas & Enders, Zeno, 2023.
"Expectation dispersion, uncertainty, and the reaction to news,"
European Economic Review, Elsevier, vol. 154(C).
- Born, Benjamin & Dovern, Jonas & Enders, Zeno, 2020. "Expectation dispersion, uncertainty, and the reaction to news," Working Papers 29, German Research Foundation's Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour", Humboldt University Berlin.
- Benjamin Born & Jonas Dovern & Zeno Enders, 2020. "Expectation Dispersion, Uncertainty, and the Reaction to News," CESifo Working Paper Series 8801, CESifo.
- Born, Benjamin & Dovern, Jonas & Enders, Zeno, 2022. "Expectation dispersion, uncertainty, and the reaction to news," CEPR Discussion Papers 15581, C.E.P.R. Discussion Papers.
- Tilmann Gneiting & Roopesh Ranjan, 2011. "Comparing Density Forecasts Using Threshold- and Quantile-Weighted Scoring Rules," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(3), pages 411-422, July.
- Christiane Baumeister & James D. Hamilton, 2015.
"Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information,"
Econometrica, Econometric Society, vol. 83(5), pages 1963-1999, September.
- Christiane Baumeister & James D. Hamilton, 2014. "Sign Restrictions, Structural Vector Autoregressions, and Useful Prior Information," NBER Working Papers 20741, National Bureau of Economic Research, Inc.
- Kajal Lahiri & Xuguang Sheng, 2010.
"Measuring forecast uncertainty by disagreement: The missing link,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(4), pages 514-538.
- Kajal Lahiri & Xuguang Sheng, 2008. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," ifo Working Paper Series 60, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
- Kajal Lahiri & Xuguang Sheng, 2009. "Measuring Forecast Uncertainty by Disagreement: The Missing Link," Discussion Papers 09-06, University at Albany, SUNY, Department of Economics.
- Pfarrhofer, Michael, 2022.
"Modeling tail risks of inflation using unobserved component quantile regressions,"
Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
- Michael Pfarrhofer, 2021. "Modeling tail risks of inflation using unobserved component quantile regressions," Papers 2103.03632, arXiv.org, revised Oct 2021.
- Gneiting, Tilmann & Raftery, Adrian E., 2007. "Strictly Proper Scoring Rules, Prediction, and Estimation," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 359-378, March.
- Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
- Gneiting, Tilmann & Ranjan, Roopesh, 2011. "Comparing Density Forecasts Using Threshold- and Quantile-Weighted Scoring Rules," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(3), pages 411-422.
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