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Report NEP-FOR-2022-09-12
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:
- Filippo Gusella & Giorgio Ricchiuti, 2022, "A State-Space Approach for Time-Series Prediction of an Heterogeneous Agent Model," Working Papers - Economics, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa, number wp2022_20.rdf.
- Yoo, Do-il, 2022, "Livestock Price Forecasting using Long Short-Term Memory Units: the Case of African Swine Fever and the COVID-19 Pandemic," 2022 Annual Meeting, July 31-August 2, Anaheim, California, Agricultural and Applied Economics Association, number 322610, Aug, DOI: 10.22004/ag.econ.322610.
- Chellai, Fatih, 2022, "Forecasting using Fuzzy Time Series," MPRA Paper, University Library of Munich, Germany, number 113848, Jul.
- Caio Almeida & Jianqing Fan & Gustavo Freire & Francesca Tang, 2022, "Can a Machine Correct Option Pricing Models?," Working Papers, Princeton University. Economics Department., number 2022-9, Jul.
- Matteo Barigozzi & Giuseppe Cavaliere & Graziano Moramarco, 2022, "Factor Network Autoregressions," Papers, arXiv.org, number 2208.02925, Aug, revised Apr 2025.
- Sullivan Hué, 2022, "GAM(L)A: An econometric model for interpretable machine learning," French Stata Users' Group Meetings 2022, Stata Users Group, number 19, Aug.
- Tashreef Muhammad & Anika Bintee Aftab & Md. Mainul Ahsan & Maishameem Meherin Muhu & Muhammad Ibrahim & Shahidul Islam Khan & Mohammad Shafiul Alam, 2022, "Transformer-Based Deep Learning Model for Stock Price Prediction: A Case Study on Bangladesh Stock Market," Papers, arXiv.org, number 2208.08300, Aug.