Report NEP-ETS-2018-06-11

This is the archive for NEP-ETS, a report on new working papers in the area of Econometric Time Series. Jaqueson K. Galimberti 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:

• Joshua C.C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2018. "Composite likelihood methods for large Bayesian VARs with stochastic volatility," CAMA Working Papers 2018-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
• Joshua C.C. Chan & Liana Jacobi & Dan Zhu, 2018. "How sensitive are VAR forecasts to prior hyperparameters? An automated sensitivity analysis," CAMA Working Papers 2018-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
• Christiane Baumeister & James D. Hamilton, 2018. "Inference in Structural Vector Autoregressions when the Identifying Assumptions are not Fully Believed: Re-evaluating the Role of Monetary Policy in Economic Fluctuations," CESifo Working Paper Series 7048, CESifo.
• Claudio, Morana, 2018. "Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices," Working Papers 382, University of Milano-Bicocca, Department of Economics, revised 04 Jun 2018.
• G. Angelini & L. Fanelli, 2018. "Identification and estimation issues in Structural Vector Autoregressions with external instruments," Working Papers wp1122, Dipartimento Scienze Economiche, Universita' di Bologna.
• Cassim, Lucius, 2018. "A semi-parametric GARCH (1, 1) estimator under serially dependent innovations," MPRA Paper 86572, University Library of Munich, Germany.
• Shota Gugushvili & Frank van der Meulen & Moritz Schauer & Peter Spreij, 2018. "Nonparametric Bayesian volatility estimation," Papers 1801.09956, arXiv.org, revised Mar 2019.
• Sylvain Barde, 2017. "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," SciencePo Working papers Main hal-03471817, HAL.
• Russell Davidson & Andrea Monticini, 2018. "Improvements in Bootstrap Inference," DISCE - Working Papers del Dipartimento di Economia e Finanza def070, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
• Chia-Lin Chang & Shu-Han Hsu & Michael McAleer, 2018. "Asymmetric Risk Impacts of Chinese Tourists to Taiwan," Tinbergen Institute Discussion Papers 18-047/III, Tinbergen Institute.
• Yanele Nyamela & Vasilios Plakandaras & Rangan Gupta, 2018. "Frequency-Dependent Real-Time Effects of Uncertainty in the United States: Evidence from Daily Data," Working Papers 201833, University of Pretoria, Department of Economics.
• Tan T. M. Le & Franck Martin & Duc K. Nguyen, 2018. "Dynamic connectedness of global currencies: a conditional Granger-causality approach," Economics Working Paper Archive (University of Rennes & University of Caen) 2018-04, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
• Takuji Fueki & Hiroka Higashi & Naoto Higashio & Jouchi Nakajima & Shinsuke Ohyama & Yoichiro Tamanyu, 2018. "Identifying oil price shocks and their consequences: the role of expectations in the crude oil market," BIS Working Papers 725, Bank for International Settlements.
• Sahu, Priyanka, 2018. "The Impact of Shocks on Core Inflation; Evidence from India," MPRA Paper 86588, University Library of Munich, Germany.