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Report NEP-ETS-2016-04-09
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:
- Gautier Marti & Frank Nielsen & Philippe Donnat & S'ebastien Andler, 2016, "On clustering financial time series: a need for distances between dependent random variables," Papers, arXiv.org, number 1603.07822, Mar.
- Fabrizio Cipollini & Robert F. Engle & Giampiero M. Gallo, 2016, "Copula--based Specification of vector MEMs," Papers, arXiv.org, number 1604.01338, Apr.
- Gary Koop & Dimitris Korobilis & Davide Pettenuzzo, 2016, "Bayesian Compressed Vector Autoregressions," Working Papers, Brandeis University, Department of Economics and International Business School, number 103, Mar.
- Forni, Mario & Gambetti, Luca & Sala, Luca, 2016, "VAR Information and the Empirical Validation of DSGE Models," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 11178, Mar.
- Helmut Lütkepohl & Anna Staszewska-Bystrova & Peter Winker, 2016, "Calculating Joint Confidence Bands for Impulse Response Functions Using Highest Density Regions," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1564.
- Mario Forni & Alessandro Giovannelli & Marco Lippi & Stefano Soccorsi, 2016, "Dynamic Factor Model with Infinite Dimensional Factor Space: Forecasting," Working Papers ECARES, ULB -- Universite Libre de Bruxelles, number ECARES 2016-16, Mar.
- Matteo Barigozzi & Marco Lippi & Matteo Luciani, 2016, "Non-Stationary Dynamic Factor Models for Large Datasets," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-024, Mar, DOI: 10.17016/FEDS.2016.024r1.
- Ossola, Elisa & Gagilardini, Patrick & Scaillet, Olivier, 2015, "Time-varying risk premium in large cross-sectional equity datasets," Working Papers, University of Geneva, Geneva School of Economics and Management, number unige:76321.
- Martyna Marczak & Tommaso Proietti & Stefano Grassi, 2016, "A Data–Cleaning Augmented Kalman Filter for Robust Estimation of State Space Models," CEIS Research Paper, Tor Vergata University, CEIS, number 374, Mar, revised 31 Mar 2016.
- Klaus Neusser, 2016, "A Topological View on the Identification of Structural Vector Autoregressions," Diskussionsschriften, Universitaet Bern, Departement Volkswirtschaft, number dp1604, Mar.
- Kufenko, Vadim, 2016, "Spurious periodicities in cliometric series: Simultaneous testing," Violette Reihe: Schriftenreihe des Promotionsschwerpunkts "Globalisierung und Beschäftigung", University of Hohenheim, Carl von Ossietzky University Oldenburg, Evangelisches Studienwerk, number 48/2016, Mar.