How the post-COVID-19 US economy lost and then regained momentum against the Eurozone economy
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- Theo Berger, 2016. "Forecasting Based on Decomposed Financial Return Series: A Wavelet Analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(5), pages 419-433, August.
- Berger, Theo & Gençay, Ramazan, 2018. "Improving daily Value-at-Risk forecasts: The relevance of short-run volatility for regulatory quality assessment," Journal of Economic Dynamics and Control, Elsevier, vol. 92(C), pages 30-46.
- Chang-Tai Lee & Jin-Li Hu & Ming-Hsin Kung, 2022. "Economic Resilience in the Early Stage of the COVID-19 Pandemic: An Across-Economy Comparison," Sustainability, MDPI, vol. 14(8), pages 1-25, April.
- Theo Berger & Ramazan Gençay, 2020. "Short‐run wavelet‐based covariance regimes for applied portfolio management," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 642-660, July.
- Diebold, Francis X. & Li, Canlin, 2006.
"Forecasting the term structure of government bond yields,"
Journal of Econometrics, Elsevier, vol. 130(2), pages 337-364, February.
- Francis X. Diebold & Canlin Li, 2002. "Forecasting the Term Structure of Government Bond Yields," Center for Financial Institutions Working Papers 02-34, Wharton School Center for Financial Institutions, University of Pennsylvania.
- Francis X. Diebold & Canlin Li, 2003. "Forecasting the Term Structure of Government Bond Yields," NBER Working Papers 10048, National Bureau of Economic Research, Inc.
- Diebold, Francis X. & Li, Canlin, 2003. "Forecasting the term structure of government bond yields," CFS Working Paper Series 2004/09, Center for Financial Studies (CFS).
- Ramazan Gencay & Nikola Gradojevic & Faruk Selcuk & Brandon Whitcher, 2010.
"Asymmetry of information flow between volatilities across time scales,"
Quantitative Finance, Taylor & Francis Journals, vol. 10(8), pages 895-915.
- Ramazan Gencay & Faruk Selcuk, 2004. "Asymmetry of Information Flow Between Volatilities Across Time Scales," Econometric Society 2004 North American Winter Meetings 90, Econometric Society.
- Ramazan Gencay & Nikola Gradojevic & Faruk Selcuk & Brandon Whitcher, 2009. "Asymmetry of Information Flow Between Volatilities Across Time Scales," Working Paper series 27_09, Rimini Centre for Economic Analysis.
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; ; ; ; ;JEL classification:
- C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
- C5 - Mathematical and Quantitative Methods - - Econometric Modeling
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
- E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
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