Report NEP-ETS-2014-11-28

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.

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Other reports in NEP-ETS

The following items were announced in this report:

• Rehman, Atiq-ur- & Malik, Muhammad Irfan, 2014. "The modified R a robust measure of association for time series," MPRA Paper 60025, University Library of Munich, Germany.
• Mark Bognanni & Edward P. Herbst, 2014. "Estimating (Markov-Switching) VAR Models without Gibbs Sampling: A Sequential Monte Carlo Approach," Working Papers (Old Series) 1427, Federal Reserve Bank of Cleveland.
• George Athanasopoulos & D.S. Poskitt & Farshid Vahid & Wenying Yao, 2014. "Determination of long-run and short-run dynamics in EC-VARMA models via canonical correlations," Monash Econometrics and Business Statistics Working Papers 22/14, Monash University, Department of Econometrics and Business Statistics.
• Baruník, Jozef & Vácha, Lukáš, 2014. "Realized wavelet-based estimation of integrated variance and jumps in the presence of noise," FinMaP-Working Papers 16, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
• Giannone, Domenico & Bańbura, Marta & Lenza, Michele, 2014. "Conditional forecasts and scenario analysis with vector autoregressions for large cross-sections," Working Paper Series 1733, European Central Bank.