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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. Yong Yin issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
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, Monash University, Department of Econometrics and Business Statistics, number 29/19.
- Ghouse, Ghulam & Khan, Saud Ahmed & Habeeb, Kashif, 2019, "Information Transmission Among Equity Markets: A Comparison Between ARDL and GARCH Model," MPRA Paper, University Library of Munich, Germany, number 97925, Jan.
- HAFNER Christian M., & WANG Linqi,, 2019, "A dynamic conditional score model for the log correlation matrix," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2019031, Dec.
- 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, OECD Publishing, number 2020/01, Jan, DOI: 10.1787/9626dda3-en.
- Alexandre Miot & Gilles Drigout, 2019, "An empirical study of neural networks for trend detection in time series," Papers, arXiv.org, number 1912.04009, Dec, 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, National Bureau of Economic Research, Inc, number 26606, Jan.
- Ilu, Ahmad Ibraheem, 2019, "Oil price Volatility and Exchange rate Dynamics in Nigeria: A Markov Switching Approach," MPRA Paper, University Library of Munich, Germany, number 97643, Dec.