Report NEP-FOR-2020-03-09

This is the archive for NEP-FOR, a report on new working papers in the area of Forecasting. Rob J Hyndman issued this report. It is usually issued weekly.

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Other reports in NEP-FOR

The following items were announced in this report:

• Wenjing Wang & Minjing Tao, 2020. "Forecasting Realized Volatility Matrix With Copula-Based Models," Papers 2002.08849, arXiv.org.
• Jin Yeub Kim & Yongjun Kim & Myungkyu Shim, 2019. "Do Financial Analysts Herd?," Working papers 2019rwp-161, Yonsei University, Yonsei Economics Research Institute.
• Camille Cornand & Paul Hubert, 2019. "On the external validity of experimental inflation forecasts : a comparison with five categories of field expectations," Documents de Travail de l'OFCE 2019-03, Observatoire Francais des Conjonctures Economiques (OFCE).
• Shaolong Sun & Yanzhao Li & Ju-e Guo & Shouyang Wang, 2020. "Tourism Demand Forecasting: An Ensemble Deep Learning Approach," Papers 2002.07964, arXiv.org, revised Jan 2021.
• Shaolong Suna & Dan Bi & Ju-e Guo & Shouyang Wang, 2020. "Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach," Papers 2002.08021, arXiv.org, revised Mar 2020.