Report NEP-FOR-2019-09-30
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:
- Frank Bohn & Francisco José Veiga, 2019, "Political Budget Forecast Cycles," NIPE Working Papers, NIPE - Universidade do Minho, number 12/2019.
- Chakraborty, Lekha & Chakraborty, Pinaki & Shrestha, Ruzel, 2019, "Budget Credibility of Subnational Governments: Analyzing the Fiscal Forecasting Errors of 28 States in India," MPRA Paper, University Library of Munich, Germany, number 95921.
- Jialin Liu & Chih-Min Lin & Fei Chao, 2019, "Gradient Boost with Convolution Neural Network for Stock Forecast," Papers, arXiv.org, number 1909.09563, Sep.
- Becker, Janis & Hollstein, Fabian & Prokopczuk, Marcel & Sibbertsen, Philipp, 2019, "The Memory of Beta Factors," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-661, Sep.
- Mehmet Selman Colak & Ibrahim Ethem Guney & Ahmet Senol & Muhammed Hasan Yilmaz, 2019, "Monitoring and Forecasting Cyclical Dynamics in Bank Credits: Evidence from Turkish Banking Sector," Working Papers, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, number 1929.
- Item repec:imf:imfwpa:19/190 is not listed on IDEAS anymore
- Fantazzini, Dean & Shangina, Tamara, 2019, "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," MPRA Paper, University Library of Munich, Germany, number 95992.
- Victor Chernozhukov & Kaspar Wuthrich & Yinchu Zhu, 2019, "Distributional conformal prediction," Papers, arXiv.org, number 1909.07889, Sep, revised Aug 2021.
- Dmitry Zotikov & Anton Antonov, 2019, "CME Iceberg Order Detection and Prediction," Papers, arXiv.org, number 1909.09495, Sep.
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