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Report NEP-FOR-2022-10-10
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:
- Tae-Hwy Lee & Ekaterina Seregina, 2022, "Combining Forecasts under Structural Breaks Using Graphical LASSO," Papers, arXiv.org, number 2209.01697, Sep, revised Sep 2023.
- Prüser, Jan & Blagov, Boris, 2022, "Improving inference and forecasting in VAR models using cross-sectional information," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 960, DOI: 10.4419/96973124.
- du Plessis, Emile & Fritsche, Ulrich, 2022, "New forecasting methods for an old problem: Predicting 147 years of systemic financial crises," WiSo-HH Working Paper Series, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory, number 67.
- Sayar Karmakar & Rangan Gupta & Oguzhan Cepni & Lavinia Rognone, 2022, "Climate Risks and Predictability of the Trading Volume of Gold: Evidence from an INGARCH Model," Working Papers, University of Pretoria, Department of Economics, number 202241, Sep.
- James Younker, 2022, "Calculating Effective Degrees of Freedom for Forecast Combinations and Ensemble Models," Discussion Papers, Bank of Canada, number 2022-19, Sep, DOI: 10.34989/sdp-2022-19.
- Lena Sasal & Tanujit Chakraborty & Abdenour Hadid, 2022, "W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting," Papers, arXiv.org, number 2209.03945, Sep.
- Aurelio Tobias & Ben Armstrong & Antonio Gasparrini, 2022, "Distributed Lag Non-Linear Models (DLNMs) in Stata," London Stata Conference 2022, Stata Users Group, number 09, Sep.