Printed from https://ideas.repec.org/n/nep-for/2019-09-16.html
Report NEP-FOR-2019-09-16
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.
Other reports in NEP-FOR
The following items were announced in this report:
- Heiner Mikosch & Laura Solanko, 2018. "Should one follow movements in the oil price or in money supply? Forecasting quarterly GDP growth in Russia with higher†frequency indicators," KOF Working papers 18-438, KOF Swiss Economic Institute, ETH Zurich.
- Elie Bouri & Riza Demirer & Rangan Gupta & Mark E. Wohar, 2019. "Gold, Platinum and the Predictability of Bond Risk Premia," Working Papers 201967, University of Pretoria, Department of Economics.
- Chakraborty, Lekha & Chakraborty, Pinaki & Shrestha, Ruzel, 2019. "Budget Credibility of Subnational Governments: Analyzing the Fiscal Forecasting Errors of 28 States in India," Working Papers 19/280, National Institute of Public Finance and Policy.
- Nibbering, D. & Paap, R., 2019. "Panel Forecasting with Asymmetric Grouping," Econometric Institute Research Papers EI-2019-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- G'abor Petneh'azi & J'ozsef G'all, 2019. "Mortality rate forecasting: can recurrent neural networks beat the Lee-Carter model?," Papers 1909.05501, arXiv.org, revised Oct 2019.
- Ansgar Belke & Jens Klose, 2019. "Forecasting ECB Policy Rates with Different Monetary Policy Rules," ROME Working Papers 201906, ROME Network.
- Arezoo Hatefi Ghahfarrokhi & Mehrnoush Shamsfard, 2019. "Tehran Stock Exchange Prediction Using Sentiment Analysis of Online Textual Opinions," Papers 1909.03792, arXiv.org, revised Sep 2019.
- Baptiste Barreau & Laurent Carlier & Damien Challet, 2019. "Deep Prediction of Investor Interest: a Supervised Clustering Approach," Papers 1909.05289, arXiv.org, revised Feb 2021.
- Baptiste Barreau & Laurent Carlier & Damien Challet, 2019. "Deep Prediction Of Investor Interest: a Supervised Clustering Approach," Working Papers hal-02276055, HAL.