Report NEP-ETS-2020-11-30

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:

• Marc Hallin & Davide La Vecchia & Hang Liu, 2020. "Rank-Based Testing for Semiparametric VAR Models: a measure transportation approach," Working Papers ECARES 2020-47, ULB -- Universite Libre de Bruxelles.
• Luca Nocciola, "undated". "Finite sample forecast properties and window length under breaks in cointegrated systems," Discussion Papers 19/07, University of Nottingham, Granger Centre for Time Series Econometrics.
• Yuta Yamauchi & Yasuhiro Omori, 2020. "Dynamic Factor, Leverage and Realized Covariances in Multivariate Stochastic Volatility," CIRJE F-Series CIRJE-F-1158, CIRJE, Faculty of Economics, University of Tokyo.
• Swati Singh & Naveen Srinivasan, 2020. "The Oil Story: Is it Still the Same?," Working Papers 2020-197, Madras School of Economics,Chennai,India.
• Ooft, Gavin, 2020. "Forecasting Monthly Inflation: An Application To Suriname," Studies in Applied Economics 144, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
• Bhaghoe, Sailesh & Ooft, Gavin, 2020. "Modelling Exchange-Rate Volatility With Commodity Prices," Studies in Applied Economics 165, The Johns Hopkins Institute for Applied Economics, Global Health, and the Study of Business Enterprise.
• Deepanshu Sharma & Kritika Phulli, 2020. "Forecasting and Analyzing the Military Expenditure of India Using Box-Jenkins ARIMA Model," Papers 2011.06060, arXiv.org.
• Bo Zhang & Jamie Cross & Na Guo, 2020. "Time-Varying Trend Models for Forecasting Inflation in Australia," Working Papers No 09/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
• Leonardo Bargigli & Giulio Cifarelli, 2020. "Endogenous and Exogenous Volatility in the Foreign Exchange Market," Working Papers - Economics wp2020_17.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.