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Report NEP-FOR-2016-06-09
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-FOR
The following items were announced in this report:
- Carlos Medel, 2016, "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," Working Papers Central Bank of Chile, Central Bank of Chile, number 785, May.
- Thomadakis, Apostolos, 2016, "Do Combination Forecasts Outperform the Historical Average? Economic and Statistical Evidence," MPRA Paper, University Library of Munich, Germany, number 71589, May.
- Item repec:bof:bofitp:2015_012 is not listed on IDEAS anymore
- Item repec:bof:bofitp:2014_022 is not listed on IDEAS anymore
- Alessandro Spelta, 2016, "Stock prices prediction via tensor decomposition and links forecast," DISCE - Working Papers del Dipartimento di Economia e Finanza, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE), number def041, May.
- Item repec:bof:bofitp:2015_019 is not listed on IDEAS anymore
- Porth, Lysa & Tan, Ken Seng & Zhu, Wenjun, 2016, "A Relational Model for Predicting Farm-Level Crop Yield Distributions in the Absence of Farm-Level Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts, Agricultural and Applied Economics Association, number 236278, DOI: 10.22004/ag.econ.236278.
- Man Chung Fung & Gareth W. Peters & Pavel V. Shevchenko, 2016, "A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting," Papers, arXiv.org, number 1605.09484, May.
- Achim Zeileis & Christoph Leitner & Kurt Hornik, 2016, "Predictive Bookmaker Consensus Model for the UEFA Euro 2016," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2016-15, May.
- Nicol'o Musmeci & Tomaso Aste & Tiziana Di Matteo, 2016, "What does past correlation structure tell us about the future? An answer from network filtering," Papers, arXiv.org, number 1605.08908, May.