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Report NEP-FOR-2016-01-18
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:
- Shanika L Wickramasuriya & George Athanasopoulos & Rob J Hyndman, 2015, "Forecasting hierarchical and grouped time series through trace minimization," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 15/15.
- Yılmaz, Engin, 2015, "Forecasting tourist arrivals to Turkey," MPRA Paper, University Library of Munich, Germany, number 68616, Dec.
- Rangan Gupta & Patrick T. Kanda & Mampho P. Modise & Alessia Paccagnini, 2015, "DSGE model-based forecasting of modelled and nonmodelled inflation variables in South Africa," Open Access publications, School of Economics, University College Dublin, number 10197/7351.
- Erik Kole & Thijs Markwat & Anne Opschoor & Dick van Dijk, 2015, "Forecasting Value-at-Risk under Temporal and Portfolio Aggregation," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 15-140/III, Jan, revised 19 Apr 2017.
- Christophe Piette, 2016, "Predicting Belgium’s GDP using targeted bridge models," Working Paper Research, National Bank of Belgium, number 290, Jan.
- Florian Schaffner, 2015, "Predicting US bank failures with internet search volume data," ECON - Working Papers, Department of Economics - University of Zurich, number 214, Dec.
- Pincheira, Pablo & Selaive, Jorge & Nolazco, Jose Luis, 2016, "The Evasive Predictive Ability of Core Inflation," MPRA Paper, University Library of Munich, Germany, number 68704, Jan.
- Terje Skjerpen & Halvor Briseid Storrøsten & Knut Einar Rosendahl & Petter Osmundsen, 2015, "Modelling and forecasting rig rates on the Norwegian Continental Shelf," Discussion Papers, Statistics Norway, Research Department, number 832, Dec.
- Marcin Chlebus, 2016, "One-Day Prediction of State of Turbulence for Portfolio. Models for Binary Dependent Variable," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2016-01.
- Jaydip Sen & Tamal Datta Chaudhuri, 2016, "Decomposition of Time Series Data of Stock Markets and its Implications for Prediction: An Application for the Indian Auto Sector," Papers, arXiv.org, number 1601.02407, Jan.
- Stelios D. Bekiros & Rangan Gupta & Alessia Paccagnini, 2015, "Oil price forecastability and economic uncertainty," Open Access publications, School of Economics, University College Dublin, number 10197/7345, Jul.
- Timothy J. Garrett, 2016, "Long-run evolution of the global economy - Part 2: Hindcasts of innovation and growth," Papers, arXiv.org, number 1601.00233, Jan.