Report NEP-ETS-2018-01-15
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.Subscribe to this report: email, RSS, or Mastodon, or Bluesky.
Other reports in NEP-ETS
The following items were announced in this report:
- Antoine Lejay & Paolo Pigato, 2017. "Data and methods for A threshold model for local volatility: evidence of leverage and mean reversion effects on historical data [Données et méthodes pour "A threshold model for local volatilit," Working Papers hal-01668975, HAL.
- Antoine Lejay & Paolo Pigato, 2017. "A threshold model for local volatility: evidence of leverage and mean reversion effects on historical data," Working Papers hal-01669082, HAL.
- Jerry Hausman & Maxim L. Pinkovskiy, 2017. "Estimating dynamic panel models: backing out the Nickell Bias," CeMMAP working papers CWP53/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Korobilis, D & Yilmaz, K, 2018. "Measuring Dynamic Connectedness with Large Bayesian VAR Models," Essex Finance Centre Working Papers 20937, University of Essex, Essex Business School.
- Guy Melard & Rajae Azrak, 2017. "Asymptotic Properties of Conditional Least-squares Estimators for Array Time Series," Working Papers ECARES ECARES 2017-49, ULB -- Universite Libre de Bruxelles.
- Georgiev, I & Harvey, DI & Leybourne, SJ & Taylor, AMR, 2018. "A Bootstrap Stationarity Test for Predictive Regression Invalidity," Essex Finance Centre Working Papers 21006, University of Essex, Essex Business School.
- Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2017. "Identification and Estimation in Non-Fundamental Structural VARMA Models," Working Papers 2017-08, Center for Research in Economics and Statistics.
- Dominik Bertsche & Robin Braun, 2017. "Identification of Structural Vector Autoregressions by Stochastic Volatility," Working Paper Series of the Department of Economics, University of Konstanz 2017-11, Department of Economics, University of Konstanz.
- PREMINGER Arie & STORTI Giuseppe, 2017. "Least squares estimation for GARCH (1,1) model with heavy tailed errors," LIDAM Discussion Papers CORE 2017015, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Christian Gouriéroux & Alain Monfort & Jean-Paul Renne, 2017. "Statistical Inference for Independent Component Analysis: Application to Structural VAR Models," Working Papers 2017-09, Center for Research in Economics and Statistics.