Report NEP-ETS-2024-03-25
This is the archive for NEP-ETS, a report on new working papers in the area of Econometric Time Series. Jaqueson K. Galimberti issued this report. It is usually issued weekly.Subscribe to this report: email, RSS, or Mastodon.
Other reports in NEP-ETS
The following items were announced in this report:
- Gabriel, Stefan & Kunst, Robert M., 2024. "Cointegrated portfolios and volatility modeling in the cryptocurrency market," IHS Working Paper Series 52, Institute for Advanced Studies.
- Jonas E. Arias & Juan F. Rubio-Ramirez & Minchul Shin & Daniel F. Waggoner, 2024. "Inference Based on Time-Varying SVARs Identified with Sign Restrictions," Working Papers 24-05, Federal Reserve Bank of Philadelphia.
- Steven Y. K. Wong & Jennifer S. K. Chan & Lamiae Azizi, 2024. "Quantifying neural network uncertainty under volatility clustering," Papers 2402.14476, arXiv.org, revised Sep 2024.
- Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2024. "A Long-Memory Model for Multiple Cycles with an Application to the S&P500," CESifo Working Paper Series 10947, CESifo.
- Alexander Mayer & Dominik Wied & Victor Troster, 2024. "Quantile Granger Causality in the Presence of Instability," Papers 2402.09744, arXiv.org, revised Dec 2024.
- Zhang, Xinyu & Li, Dong & Tong, Howell, 2023. "On the least squares estimation of multiple-threshold-variable autoregressive models," LSE Research Online Documents on Economics 118377, London School of Economics and Political Science, LSE Library.
- Juan Carlos Escanciano & Ricardo Parra, 2024. "Extending the Scope of Inference About Predictive Ability to Machine Learning Methods," Papers 2402.12838, arXiv.org, revised Apr 2024.