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Report NEP-ETS-2022-03-28
This is the archive for NEP-ETS, a report on new working papers in the area of Econometric Time Series. Yong Yin issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-ETS
The following items were announced in this report:
- Zexuan Yin & Paolo Barucca, 2022, "Neural Generalised AutoRegressive Conditional Heteroskedasticity," Papers, arXiv.org, number 2202.11285, Feb.
- Verena Monschang & Bernd Wilfling, 2022, "A procedure for upgrading linear-convex combination forecasts with an application to volatility prediction," CQE Working Papers, Center for Quantitative Economics (CQE), University of Muenster, number 9722, Mar.
- Zongwu Cai & Xiyuan Liu, 2020, "A Nonparametric Dynamic Network via Multivariate Quantile Autoregressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202209, Oct, revised Mar 2022.
- Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2022, "On the volatility of cryptocurrencies," Working Papers, University of Guelph, Department of Economics and Finance, number 2202.
- Xu, Yongdeng, 2022, "The Exponential HEAVY Model: An Improved Approach to Volatility Modeling and Forecasting," Cardiff Economics Working Papers, Cardiff University, Cardiff Business School, Economics Section, number E2022/5, Mar.
- Baye Matar Kandji, 2022, "Iterated Function Systems driven by non independent sequences: structure and inference," Working Papers, Center for Research in Economics and Statistics, number 2022-03, Jan.
- Tae-Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022, "Optimal Forecast under Structural Breaks," Working Papers, University of California at Riverside, Department of Economics, number 202208, Feb.