Report NEP-ETS-2019-03-11

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:

• Ashesh Rambachan & Neil Shephard, 2019. "Econometric analysis of potential outcomes time series: instruments, shocks, linearity and the causal response function," Papers 1903.01637, arXiv.org, revised Feb 2020.
• Kapetanios, George & Papailias, Fotis & Taylor, AM Robert, 2019. "A Generalised Fractional Differencing Bootstrap for Long Memory Processes," Essex Finance Centre Working Papers 24136, University of Essex, Essex Business School.
• Demetrescu, Matei & Georgiev, Iliyan & Rodrigues, Paulo MM & Taylor, AM Robert, 2019. "Testing for Episodic Predictability in Stock Returns," Essex Finance Centre Working Papers 24137, University of Essex, Essex Business School.
• Koo, B. & La Vecchia, D. & Linton, O., 2019. "Nonparametric Recovery of the Yield Curve Evolution from Cross-Section and Time Series Information," Cambridge Working Papers in Economics 1916, Faculty of Economics, University of Cambridge.
• Reza Hajargasht, 2019. "Approximation Properties of Variational Bayes for Vector Autoregressions," Papers 1903.00617, arXiv.org.
• Sebastian Kripfganz & Daniel C. Schneider, 2019. "Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models," Discussion Papers 1901, University of Exeter, Department of Economics.
• Ali Alichi & Hayk Avetisyan & Douglas Laxton & Shalva Mkhatrishvili & Armen Nurbekyan & Lusine Torosyan & Hou Wang, 2019. "Multivariate Filter Estimation of Potential Output for the United States: An Extension with Labor Market Hysteresis," IMF Working Papers 19/35, International Monetary Fund.
• Chloe Lacombe & Aitor Muguruza & Henry Stone, 2019. "Asymptotics for volatility derivatives in multi-factor rough volatility models," Papers 1903.02833, arXiv.org, revised Oct 2020.
• Gregor Kastner & Sylvia Fruhwirth-Schnatter, 2017. "Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models," Papers 1706.05280, arXiv.org.
• Ayala, Astrid & Blazsek, Szabolcs, 2019. "Score-driven time series models with dynamic shape : an application to the Standard & Poor's 500 index," UC3M Working papers. Economics 28133, Universidad Carlos III de Madrid. Departamento de Economía.