Report NEP-ETS-2019-04-15

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:

• Giuseppe Cavaliere & Anders Rahbek, 2019. "A Primer On Bootstrap Testing Of Hypotheses In Time Series Models: With An Application To Double Autoregressive Models," Discussion Papers 19-03, University of Copenhagen. Department of Economics.
• Spencer Wheatley & Alexander Wehrli & Didier Sornette, 2018. "The Endo-Exo Problem in High Frequency Financial Price Fluctuations and Rejecting Criticality," Swiss Finance Institute Research Paper Series 18-57, Swiss Finance Institute.
• Angelos Alexopoulos & Petros Dellaportas & Omiros Papaspiliopoulos, 2019. "Bayesian prediction of jumps in large panels of time series data," Papers 1904.05312, arXiv.org, revised Apr 2021.
• Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2019. "Tests for conditional heteroscedasticity with functional data and goodness-of-fit tests for FGARCH models," MPRA Paper 93048, University Library of Munich, Germany.
• Chi-Young Choi & Alexander Chudik, 2019. "Estimating Impulse Response Functions When the Shock Series Is Observed," Globalization Institute Working Papers 353, Federal Reserve Bank of Dallas.
• Dennis Kristensen & Young Jun Lee, 2019. "Local Polynomial Estimation of Time-Varying Parameters in Nonlinear Models," Papers 1904.05209, arXiv.org, revised Aug 2023.
• Pierre Henry-Labordere, 2019. "From (Martingale) Schrodinger bridges to a new class of Stochastic Volatility Models," Papers 1904.04554, arXiv.org.
• Michael W. McCracken, 2019. "Tests of Conditional Predictive Ability: Some Simulation Evidence," Working Papers 2019-11, Federal Reserve Bank of St. Louis.
• Shihao Gu & Bryan T. Kelly & Dacheng Xiu, 2018. "Empirical Asset Pricing via Machine Learning," Swiss Finance Institute Research Paper Series 18-71, Swiss Finance Institute.
• Evanthia Chatzitzisi & Stilianos Fountas & Theodore Panagiotidis, 2019. "Another Look at Calendar Anomalies," Discussion Paper Series 2019_02, Department of Economics, University of Macedonia, revised Feb 2019.
• BOCART Fabian Y.R.P., & GHYSELS Eric, & HAFNER Christian,, 2018. "Monthly art market returns," LIDAM Discussion Papers CORE 2018028, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
• Amin Azari, 2019. "Bitcoin Price Prediction: An ARIMA Approach," Papers 1904.05315, arXiv.org.
• Richard K. Crump & Nikolay Gospodinov, 2019. "Deconstructing the yield curve," Staff Reports 884, Federal Reserve Bank of New York.