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Report NEP-FOR-2018-10-15
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:
- Laura Liu & Hyungsik Roger Moon & Frank Schorfheide, 2018, "Forecasting with Dynamic Panel Data Models," NBER Working Papers, National Bureau of Economic Research, Inc, number 25102, Sep.
- Gloria Gonzalez-Rivera & Yun Luo & Esther Ruiz, 2018, "Prediction Regions for Interval-valued Time Series," Working Papers, University of California at Riverside, Department of Economics, number 201817, Oct.
- Félix, Luiz & Kräussl, Roman & Stork, Philip, 2018, "Predictable biases in macroeconomic forecasts and their impact across asset classes," CFS Working Paper Series, Center for Financial Studies (CFS), number 596.
- Robert J. Hodrick & Tuomas Tomunen, 2018, "Taking the Cochrane-Piazzesi Term Structure Model Out of Sample: More Data, Additional Currencies, and FX Implications," NBER Working Papers, National Bureau of Economic Research, Inc, number 25092, Sep.
- Carlos Carvalho & Jared D. Fisher & Davide Pettenuzzo, 2018, "Optimal Asset Allocation with Multivariate Bayesian Dynamic Linear Models," Working Papers, Brandeis University, Department of Economics and International Business School, number 123, Sep.
- Oscar Claveria, 2018, "“A new metric of consensus for Likert scales”," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 201821, Sep, revised Oct 2018.
- Yanfei Kang & Rob J Hyndman & Feng Li, 2018, "Efficient generation of time series with diverse and controllable characteristics," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 15/18.