Report NEP-ETS-2015-11-21

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:

• Shin Kanaya, 2015. "Uniform Convergence Rates of Kernel-Based Nonparametric Estimators for Continuous Time Diffusion Processes: A Damping Function Approach," CREATES Research Papers 2015-50, Department of Economics and Business Economics, Aarhus University.
• Tommaso Proietti, 2015. "Exponential Smoothing, Long Memory and Volatility Prediction," CREATES Research Papers 2015-51, Department of Economics and Business Economics, Aarhus University.
• Matyas Barczy & Balazs Nyul & Gyula Pap, 2015. "Least squares estimation for the subcritical Heston model based on continuous time observations," Papers 1511.05948, arXiv.org, revised Aug 2018.
• Tamara Burdisso & Máximo Sangiácomo, 2015. "Panel Time Series. Review of the Methodological Evolution," BCRA Working Paper Series 201568, Central Bank of Argentina, Economic Research Department.
• Jair N. Ojeda-Joya & Oscar Jaulin-Mendez & Juan C. Bustos-Peláez, 2015. "The Interdependence between Commodity-Price and GDP Cycles: A Frequency Domain Approach," Borradores de Economia 913, Banco de la Republica de Colombia.
• , "undated". "," IPEK Working Papers 1509, Ipek University, Department of Economics.
• Boriss Siliverstovs, 2015. "Dissecting Models' Forecasting Performance," KOF Working papers 15-397, KOF Swiss Economic Institute, ETH Zurich.
• Karol Szafranek, 2015. "Financialisation of the commodity markets. Conclusions from the VARX DCC GARCH," NBP Working Papers 213, Narodowy Bank Polski.
• Gerlach, R & Sutton, M & Vasnev, A, 2015. "Generalized Variance: A Robust Estimator of Stock Price Volatility," Working Papers 2015-02, University of Sydney Business School, Discipline of Business Analytics.
• Hill, Jonathan B. & Prokhorov, Artem, 2015. "GEL Estimation for Heavy-Tailed GARCH Models with Robust Empirical Likelihood Inference," Working Papers 2015-03, University of Sydney Business School, Discipline of Business Analytics.
• Hill, Jonathan B. & Prokhorov, Artem, 2015. "Supplemental Material for GEL Estimation for Heavy-Tailed GARCH Models with Robust Empirical Likelihood Inference," Working Papers 2015-04, University of Sydney Business School, Discipline of Business Analytics.
• Gerlach, Richard & Wang, Chao, 2015. "Bayesian Semi-parametric Realized-CARE Models for Tail Risk Forecasting Incorporating Range and Realized Measures," Working Papers 2015-07, University of Sydney Business School, Discipline of Business Analytics.
• Tomás del Barrio Castro & Paulo M. M. Rodrigues & A. M. Robert Taylor, 2015. "Semi-Parametric Seasonal Unit Root Tests," DEA Working Papers 72, Universitat de les Illes Balears, Departament d'Economía Aplicada.
• Tomás del Barrio Castro & Andrii Bodnar & Andreu Sansó Rosselló, 2015. "Numerical Distribution Functions for Seasonal Unit Root Tests with OLS and GLS Detrending," DEA Working Papers 73, Universitat de les Illes Balears, Departament d'Economía Aplicada.
• Marczak, Martyna & Proietti, Tommaso & Grassi, Stefano, 2015. "A data-cleaning augmented Kalman filter for robust estimation of state space models," Hohenheim Discussion Papers in Business, Economics and Social Sciences 13-2015, University of Hohenheim, Faculty of Business, Economics and Social Sciences.