Report NEP-ETS-2023-11-20

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:

• Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Working Papers ECARES 2023-15, ULB -- Universite Libre de Bruxelles.
• Sahil Teymurzade & Robert Ślepaczuk, 2023. "Predicting DJIA, NASDAQ and NYSE index prices using ARIMA and VAR models," Working Papers 2023-27, Faculty of Economic Sciences, University of Warsaw.
• Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
• Martin Magris & Alexandros Iosifidis, 2023. "Variational Inference for GARCH-family Models," Papers 2310.03435, arXiv.org.
• Puwasala Gamakumara & Edgar Santos-Fernandez & Priyanga Dilini Talagala & Rob J Hyndman & Kerrie Mengersen & Catherine Leigh, 2023. "Conditional Normalization in Time Series Analysis," Monash Econometrics and Business Statistics Working Papers 10/23, Monash University, Department of Econometrics and Business Statistics.
• George Athanasopoulos & Rob J Hyndman & Nikolaos Kourentzes & Anastasios Panagiotelis, 2023. "Forecast Reconciliation: A Review," Monash Econometrics and Business Statistics Working Papers 8/23, Monash University, Department of Econometrics and Business Statistics.
• Dimitris Christopoulos & Peter McAdam & Elias Tzavalis, 2023. "Threshold Endogeneity in Threshold VARs: An Application to Monetary State Dependence," Research Working Paper RWP 23-09, Federal Reserve Bank of Kansas City.
• Juan Tenorio & Wilder Pérez, 2023. "GDP nowcasting with Machine Learning and Unstructured Data to Peru," Working Papers 197, Peruvian Economic Association.
• Xin Du & Kai Moriyama & Kumiko Tanaka-Ishii, 2023. "Co-Training Realized Volatility Prediction Model with Neural Distributional Transformation," Papers 2310.14536, arXiv.org.