Report NEP-ETS-2020-01-20

This is the archive for NEP-ETS, a report on new working papers in the area of Econometric Time Series. Jaqueson K. Galimberti issued this report. It is usually issued weekly.

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Other reports in NEP-ETS

The following items were announced in this report:

• Mahsa Ashouri & Rob J Hyndman & Galit Shmueli, 2019. "Fast Forecast Reconciliation Using Linear Models," Monash Econometrics and Business Statistics Working Papers 29/19, Monash University, Department of Econometrics and Business Statistics.
• Ghouse, Ghulam & Khan, Saud Ahmed & Habeeb, Kashif, 2019. "Information Transmission Among Equity Markets: A Comparison Between ARDL and GARCH Model," MPRA Paper 97925, University Library of Munich, Germany.
• HAFNER Christian M., & WANG Linqi,, 2019. "A dynamic conditional score model for the log correlation matrix," LIDAM Discussion Papers CORE 2019031, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
• Catherine Doz & Laurent Ferrara & Pierre-Alain Pionnier, 2020. "Business cycle dynamics after the Great Recession: An extended Markov-Switching Dynamic Factor Model," OECD Statistics Working Papers 2020/01, OECD Publishing.
• Alexandre Miot & Gilles Drigout, 2019. "An empirical study of neural networks for trend detection in time series," Papers 1912.04009, arXiv.org, revised Feb 2020.
• Christiane Baumeister & James D. Hamilton, 2020. "Drawing Conclusions from Structural Vector Autoregressions Identified on the Basis of Sign Restrictions," NBER Working Papers 26606, National Bureau of Economic Research, Inc.
• Ilu, Ahmad Ibraheem, 2019. "Oil price Volatility and Exchange rate Dynamics in Nigeria: A Markov Switching Approach," MPRA Paper 97643, University Library of Munich, Germany.