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Report NEP-FOR-2019-02-11
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:
- Travis J. Berge & Andrew C. Chang & Nitish R. Sinha, 2019, "Evaluating the Conditionality of Judgmental Forecasts," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2019-002, Feb, DOI: 10.17016/FEDS.2019.002.
- Oguzhan Cepni & Riza Demirer & Rangan Gupta & Christian Pierdzioch, 2019, "Time-Varying Risk Aversion and the Predictability of Bond Premia," Working Papers, University of Pretoria, Department of Economics, number 201906, Jan.
- Leopoldo Catania & Tommaso Proietti, 2019, "Forecasting Volatility with Time-Varying Leverage and Volatility of Volatility Effects," CEIS Research Paper, Tor Vergata University, CEIS, number 450, Feb, revised 06 Feb 2019.
- Robert Lehmann & Timo Wollmershäuser, 2019, "The Macroeconomic Projections of the German Government: A Comparison to an Independent Forecasting Institution," CESifo Working Paper Series, CESifo, number 7460.
- Niels Haldrup & Carsten P. T. Rosenskjold, 2018, "A Parametric Factor Model of the Term Structure of Mortality," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-06, Jan.
- Emilio Zanetti Chini, 2018, "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-13, Mar.
- Knüppel, Malte & Schultefrankenfeld, Guido, 2018, "Assessing the uncertainty in central banks' inflation outlooks," Discussion Papers, Deutsche Bundesbank, number 56/2018.
- Emilio Zanetti Chini, 2018, "Forecaster’s utility and forecasts coherence," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-01, Jan.
- Stéphanie Combes & Catherine Doz, 2018, "Forecasting French GDP with Dynamic Factor Models : a pseudo-real time experiment using Factor-augmented Error Correction Models," Working Papers, HAL, number halshs-01819516, Jun.
- Pérez, Fernando, 2018, "Nowcasting Peruvian GDP using Leading Indicators and Bayesian Variable Selection," Working Papers, Banco Central de Reserva del Perú, number 2018-010, Dec.
- Congressional Budget Office, 2017, "CBO’s Economic Forecasting Record: 2017 Update," Reports, Congressional Budget Office, number 53090, Oct.
- Guanhao Feng & Jingyu He, 2019, "Factor Investing: A Bayesian Hierarchical Approach," Papers, arXiv.org, number 1902.01015, Feb, revised Sep 2020.
- Craig S. Hakkio & Jun Nie, 2018, "Forecasting Foreign Economic Growth Using Cross-Country Data," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 18-14, Dec, DOI: 10.18651/RWP2018-14.