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Report NEP-FOR-2021-05-31
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-FOR
The following items were announced in this report:
- Kiss, Tamás & Mazur, Stepan & Nguyen, Hoang, 2021, "Predicting returns and dividend growth - the role of non-Gaussian innovations," Working Papers, Örebro University, School of Business, number 2021:10, May.
- Rossi, Barbara & Odendahl, Florens & Sekhposyan, Tatevik, 2020, "Comparing Forecast Performance with State Dependence," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15217, Aug.
- Delle Monache, Davide & De Polis, Andrea & Petrella, Ivan, 2022, "Modeling and Forecasting Macroeconomic Downside Risk," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15109, Feb.
- Pincheira, Pablo & Hardy, Nicolas & Bentancor, Andrea & Henriquez, Cristóbal & Tapia, Ignacio, 2021, "Forecasting Base Metal Prices with an International Stock Index," MPRA Paper, University Library of Munich, Germany, number 107828, May.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino & Elmar Mertens, 2021, "Forecasting with Shadow-Rate VARs," Working Papers, Federal Reserve Bank of Cleveland, number 21-09, Mar, DOI: 10.26509/frbc-wp-202109.
- Matthieu Garcin, 2021, "Forecasting with fractional Brownian motion: a financial perspective," Working Papers, HAL, number hal-03230167, Sep.
- Marcellino, Massimiliano & Foroni, Claudia & Stevanovic, Dalibor, 2020, "Forecasting the Covid-19 recession and recovery: Lessons from the financial crisis," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15114, Jul.
- Afees A. Salisu & Rangan Gupta & Sayar Karmakar & Sonali Das, 2021, "Forecasting Output Growth of Advanced Economies Over Eight Centuries: The Role of Gold Market Volatility as a Proxy of Global Uncertainty," Working Papers, University of Pretoria, Department of Economics, number 202133, May.
- Zihao Zhang & Stefan Zohren, 2021, "Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units," Papers, arXiv.org, number 2105.10430, May, revised Aug 2021.
- Tim Leung & Theodore Zhao, 2021, "Financial Time Series Analysis and Forecasting with HHT Feature Generation and Machine Learning," Papers, arXiv.org, number 2105.10871, May.
- Jesse Lastunen & Matteo Richiardi, 2021, "Forecasting recovery from COVID-19 using financial data: An application to Viet Nam," WIDER Working Paper Series, World Institute for Development Economic Research (UNU-WIDER), number wp-2021-84.
- VINTU, Denis, 2021, "GDP Modelling and Forecasting Using ARIMA. An Empirical Assessment for Innovative Economy Formation," MPRA Paper, University Library of Munich, Germany, number 107603, Apr, revised 11 Feb 2021.