Report NEP-ETS-2016-08-28
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:
- Pierre Perron & Tatsuma Wada, 2015, "Measuring Business Cycles with Structural Breaks and Outliers: Applications to International Data," Boston University - Department of Economics - Working Papers Series, Boston University - Department of Economics, number wp2015-016, Oct.
- Jiawen Xu & Pierre Perron, 2015, "Forecasting in the presence of in and out of sample breaks," Boston University - Department of Economics - Working Papers Series, Boston University - Department of Economics, number wp2015-012, Sep.
- Rasmus T. Varneskov & Pierre Perron, 2015, "Combining Long Memory and Level Shifts in Modeling and Forecasting the Volatility of Asset Returns," Boston University - Department of Economics - Working Papers Series, Boston University - Department of Economics, number wp2015-015, Sep.
- Luis Filipe Martins & Pierre Perron, 2015, "Improved Tests for Forecast Comparisons in the Presence of Instabilities," Boston University - Department of Economics - Working Papers Series, Boston University - Department of Economics, number wp2015-014, Oct.
- Pierre Perron & Gabriel RodrÃguez, , "Residuals-based Tests for Cointegration with GLS Detrended Data," Boston University - Department of Economics - Working Papers Series, Boston University - Department of Economics, number wp2015-017, revised 19 Oct 2015.
- Pierre Perron & Mototsugu Shintani & Tomoyoshi Yabu, 2015, "Testing for Flexible Nonlinear Trends with an Integrated or Stationary Noise Component," Boston University - Department of Economics - Working Papers Series, Boston University - Department of Economics, number wp2015-018, Jan, revised Nov 2015.
- Yunus Emre Ergemen & Carlos Vladimir Rodríguez-Caballero, 2016, "A Dynamic Multi-Level Factor Model with Long-Range Dependence," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2016-23, Aug.
- Ladislav Kristoufek, 2016, "Fractal approach towards power-law coherency to measure cross-correlations between time series," Papers, arXiv.org, number 1608.06781, Aug, revised Feb 2017.
- Kanaya, Shin, 2016, "Convergence rates of sums of α-mixing triangular arrays : with an application to non-parametric drift function estimation of continuous-time processes," Discussion Paper Series, Institute of Economic Research, Hitotsubashi University, number 646, Aug.
- Forni, Mario & Cavicchioli, Maddalena & Lippi, Marco & Zaffaroni, Paolo, 2016, "Eigenvalue Ratio Estimators for the Number of Common Factors," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 11440, Aug.
- Francis X. Diebold & Minchul Shin, 2016, "Assessing Point Forecast Accuracy by Stochastic Error Distance," NBER Working Papers, National Bureau of Economic Research, Inc, number 22516, Aug.
Printed from https://ideas.repec.org/n/nep-ets/2016-08-28.html