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Report NEP-ETS-2018-01-01
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:
- Anna Gloria Billé & Samantha Leorato, 2017, "Quasi-ML estimation, Marginal Effects and Asymptotics for Spatial Autoregressive Nonlinear Models," BEMPS - Bozen Economics & Management Paper Series, Faculty of Economics and Management at the Free University of Bozen, number BEMPS44, Dec.
- Rajae Azrak & Guy Melard, 2017, "Autoregressive Models with Time-dependent Coefficients. A comparison between Several Approaches," Working Papers ECARES, ULB -- Universite Libre de Bruxelles, number ECARES 2017-48, Dec.
- Massimo Franchi & Paolo Paruolo, 2017, "Cointegration in functional autoregressive processes," DSS Empirical Economics and Econometrics Working Papers Series, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome, number 2017/5, Dec.
- Antoine Lejay & Paolo Pigato, 2017, "A threshold model for local volatility: evidence of leverage and mean reversion effects on historical data," Papers, arXiv.org, number 1712.08329, Dec, revised Feb 2019.
- Item repec:cwl:cwldpp:3014 is not listed on IDEAS anymore
- Item repec:cwl:cwldpp:3013 is not listed on IDEAS anymore
- Mateusz Buczyński & Marcin Chlebus, 2017, "Is CAViaR model really so good in Value at Risk forecasting? Evidence from evaluation of a quality of Value-at-Risk forecasts obtained based on the: GARCH(1,1), GARCH-t(1,1), GARCH-st(1,1), QML-GARCH(1,1), CAViaR and the historical simulation models ," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2017-29.
- Helmut Lütkepohl & Tomasz Woźniak, 2017, "Bayesian Inference for Structural Vector Autoregressions Identified by Markov-Switching Heteroskedasticity," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1707.
- Zacharias Psaradakis & Marián Vávra, 2017, "Normality Tests for Dependent Data: Large-Sample and Bootstrap Approaches," Birkbeck Working Papers in Economics and Finance, Birkbeck, Department of Economics, Mathematics & Statistics, number 1706, Oct.