Report NEP-ETS-2014-01-17

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.

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Other reports in NEP-ETS

The following items were announced in this report:

• Chih-Hao Lin & Chia-Seng Chang & Sai-Ping Li, 2014. "An Empirical Method to Measure Stochasticity and Multifractality in Nonlinear Time Series," Papers 1401.1292, arXiv.org.
• Anna Zaremba & Tomaso Aste, 2014. "Measures of Causality in Complex Datasets with application to financial data," Papers 1401.1457, arXiv.org, revised Jun 2014.
• Tao Xiong & Yukun Bao & Zhongyi Hu, 2014. "Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting," Papers 1401.1916, arXiv.org.
• Claudia Foroni & Massimiliano Marcellino, 2014. "Mixed frequency structural VARs," Working Paper 2014/01, Norges Bank.
• A. Poissonnier, 2013. "Temporal disaggregation of stock variables - The Chow-Lin method extended to dynamic models," Documents de Travail de la DESE - Working Papers of the DESE g2013-03, Institut National de la Statistique et des Etudes Economiques, DESE.
• Dimitra Chatzi & Dikaios Tserkezos, 2014. "Testing the Linearity of a Time Series," Working Papers 1401, University of Crete, Department of Economics.
• Helmut Lütkepohl, 2014. "Structural Vector Autoregressive Analysis in a Data Rich Environment: A Survey," Discussion Papers of DIW Berlin 1351, DIW Berlin, German Institute for Economic Research.
• Chevillon, Guillaume, 2013. "Robust Cointegration Testing in the Presence of Weak Trends, with an Application to the Human Origin of Global Warming," ESSEC Working Papers WP1320, ESSEC Research Center, ESSEC Business School.
• Franses, Ph.H.B.F., 2013. "Are we in a bubble? A simple time-series-based diagnostic," Econometric Institute Research Papers EI 2013-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
• Bel, K. & Paap, R., 2013. "Modeling the impact of forecast-based regime switches on macroeconomic time series," Econometric Institute Research Papers EI 2013-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
• Almeida e Santos Nogueira, R.J. & Basturk, N. & Kaymak, U. & Costa Sousa, J.M., 2013. "Estimation of flexible fuzzy GARCH models for conditional density estimation," ERIM Report Series Research in Management ERS-2013-013-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
• Kole, H.J.W.G. & van Dijk, D.J.C., 2013. "How to Identify and Forecast Bull and Bear Markets?," ERIM Report Series Research in Management ERS-2013-016-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
• Brännäs, Kurt, 2014. "Simultaneity in the Multivariate Count Data Autoregressive Model," Umeå Economic Studies 870, Umeå University, Department of Economics.
• Zhu, Ke & Li, Wai Keung, 2014. "A new Pearson-type QMLE for conditionally heteroskedastic models," MPRA Paper 52732, University Library of Munich, Germany.