Report NEP-ETS-2019-05-06
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, or Bluesky.
Other reports in NEP-ETS
The following items were announced in this report:
- Gregor Zens & Maximilian Bock, 2019. "A Factor-Augmented Markov Switching (FAMS) Model," Papers 1904.13194, arXiv.org, revised May 2019.
- Peter C. B. Phillips & Zhentao Shi, 2019. "Boosting: Why You Can Use the HP Filter," Papers 1905.00175, arXiv.org, revised Nov 2020.
- Kapetanios, George & Millard, Stephen & Petrova, Katerina & Price, Simon, 2019. "Time-varying cointegration and the UK great ratios," Bank of England working papers 789, Bank of England.
- A Clements & D Preve, 2019. "A Practical Guide to Harnessing the HAR Volatility Model," NCER Working Paper Series 120, National Centre for Econometric Research.
- A Clements & M Doolan, 2018. "Combining Multivariate Volatility Forecasts using Weighted Losses," NCER Working Paper Series 119, National Centre for Econometric Research.
- Guglielmo Maria Caporale & Daria Teterkina, 2019. "Volatility forecasts for the RTS stock index: option-implied volatility versus alternative methods," CESifo Working Paper Series 7612, CESifo.
- Suwanhirunkul, Suwijak & Masih, Mansur, 2018. "Islamic equity as an alternative investment from the perspective of the Southeast Asian investors: evidence from MGARCH-DCC and Wavelet Coherence," MPRA Paper 93542, University Library of Munich, Germany.
- Andr'es Garc'ia Medina & Graciela Gonz'alez-Far'ias, 2019. "Determining the number of factors in a forecast model by a random matrix test: cryptocurrencies," Papers 1905.00545, arXiv.org.
- Bazhenov, Timofey & Fantazzini, Dean, 2019. "Forecasting Realized Volatility of Russian stocks using Google Trends and Implied Volatility," MPRA Paper 93544, University Library of Munich, Germany.
- Arturas Juodis & Yiannis Karavias, 2019. "Partially heterogeneous tests for Granger non-causality in panel data," Bank of Lithuania Working Paper Series 59, Bank of Lithuania.
- Tetsuya Takaishi, 2019. "Rough volatility of Bitcoin," Papers 1904.12346, arXiv.org.
- Simon Freyaldenhoven, 2019. "A Generalized Factor Model with Local Factors," Working Papers 19-23, Federal Reserve Bank of Philadelphia.