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Report NEP-FOR-2020-02-10
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:
- Sidra Mehtab & Jaydip Sen, 2020, "Stock Price Prediction Using Convolutional Neural Networks on a Multivariate Timeseries," Papers, arXiv.org, number 2001.09769, Jan.
- Riza Demirer & Rangan Gupta & Christian Pierdzioch & Syed Jawad Hussain Shahzad, 2020, "A Note on Oil Price Shocks and the Forecastability of Gold Realized Volatility," Working Papers, University of Pretoria, Department of Economics, number 202010, Jan.
- Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020, "A Note on Investor Happiness and the Predictability of Realized Volatility of Gold," Working Papers, University of Pretoria, Department of Economics, number 202004, Jan.
- Matteo Bonato & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020, "Investor Happiness and Predictability of the Realized Volatility of Oil Price," Working Papers, University of Pretoria, Department of Economics, number 202009, Jan.
- Tine Van Calster & Filip Van den Bossche & Bart Baesens & Wilfried Lemahieu, 2020, "Profit-oriented sales forecasting: a comparison of forecasting techniques from a business perspective," Papers, arXiv.org, number 2002.00949, Feb.
- Wheeler, Andrew Palmer & Steenbeek, Wouter, 2020, "Mapping the risk terrain for crime using machine learning," SocArXiv, Center for Open Science, number xc538, Jan, DOI: 10.31219/osf.io/xc538.
- Jaqueson K. Galimberti, 2020, "Forecasting GDP growth from outer space," Working Papers, Auckland University of Technology, Department of Economics, number 2020-02, Feb.
- Muhammad Ejaz & Javed Iqbal, 2019, "Estimation and Forecasting of Industrial Production Index," SBP Working Paper Series, State Bank of Pakistan, Research Department, number 103, Apr.
- Zhengkun Li & Minh-Ngoc Tran & Chao Wang & Richard Gerlach & Junbin Gao, 2020, "A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting," Papers, arXiv.org, number 2001.08374, Jan, revised May 2021.
- Elie Bouri & Konstantinos Gkillas & Rangan Gupta & Christian Pierdzioch, 2020, "Forecasting Realized Volatility of Bitcoin: The Role of the Trade War," Working Papers, University of Pretoria, Department of Economics, number 202003, Jan.
- Turchin, Peter & Korotayev, Andrey, 2020, "The 2010 Structural-Demographic Forecast for the 2010–2020 Decade: A Retrospective Assessment," SocArXiv, Center for Open Science, number 7ahqn, Jan, DOI: 10.31219/osf.io/7ahqn.