Report NEP-ETS-2016-01-29

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:

• Jakob Guldbæk Mikkelsen & Eric Hillebrand & Giovanni Urga, 2015. "Maximum Likelihood Estimation of Time-Varying Loadings in High-Dimensional Factor Models," CREATES Research Papers 2015-61, Department of Economics and Business Economics, Aarhus University.
• Matteo Ludovico Bedini & Rainer Buckdahn & Hans-Jurgen Engelbert, 2016. "Brownian Bridges on Random Intervals," Papers 1601.01811, arXiv.org.
• Lucas Lacasa & Ryan Flanagan, 2016. "Irreversibility of financial time series: a graph-theoretical approach," Papers 1601.01980, arXiv.org.
• Jaydip Sen & Tamal Datta Chaudhuri, 2016. "Decomposition of Time Series Data of Stock Markets and its Implications for Prediction: An Application for the Indian Auto Sector," Papers 1601.02407, arXiv.org.
• Jonas Hallgren & Timo Koski, 2016. "Testing for Causality in Continuous Time Bayesian Network Models of High-Frequency Data," Papers 1601.06651, arXiv.org.
• Wieladek, Tomasz, 2016. "The varying coefficient Bayesian panel VAR model," Bank of England working papers 578, Bank of England.
• Domit, Sílvia & Monti, Francesca & Sokol, Andrej, 2016. "A Bayesian VAR benchmark for COMPASS," Bank of England working papers 583, Bank of England.
• Giuseppe Cavaliere & Iliyan Georgiev & Robert Taylor, 2016. "Unit root inference for non-stationary linear processes driven by infinite variance innovations," Quaderni di Dipartimento 1, Department of Statistics, University of Bologna.
• Harris, D & Leybourne, SJ & Taylor, AMR, 2016. "Tests of the Co-integration Rank in VAR Models in the Presence of a Possible Break in Trend at an Unknown Point," Essex Finance Centre Working Papers 15847, University of Essex, Essex Business School.
• Athanasopouolos, George & Poskitt, Don & Vahid, Farshid & Yao, Wenying, 2014. "Forecasting with EC-VARMA models," Working Papers 2014-07, University of Tasmania, Tasmanian School of Business and Economics, revised 22 Feb 2014.
• Yao, Wenying & Tian, Jing, 2015. "The role of intra-day volatility pattern in jump detection: empirical evidence on how financial markets respond to macroeconomic news announcements," Working Papers 2015-05, University of Tasmania, Tasmanian School of Business and Economics.