Report NEP-ETS-2004-06-27
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.
Other reports in NEP-ETS
The following items were announced in this report:
- Don U.A. Galagedera & Roland Shami, 2004. "Association between Markov regime-switching market volatility and beta risk: Evidence from Dow Jones industrial securities," Finance 0406011, University Library of Munich, Germany.
- Gilberto A. Libanio, 2004. "Unit roots in macroeconomic time series: a post Keynesian interpretation," Textos para Discussão Cedeplar-UFMG td233, Cedeplar, Universidade Federal de Minas Gerais.
- Roland Shami & Don U.A. Galagedera, 2004. "Beta Risk and Regime Shift in Market Volatility," Finance 0406012, University Library of Munich, Germany.
- Christopher F. Baum, 2004. "Topics in time series regression modeling," United Kingdom Stata Users' Group Meetings 2004 7, Stata Users Group, revised 26 Jul 2004.
- Pentti SAIKKONEN & Helmut LUETKEPOHL & Carsten TRENKLER, 2004. "Break Date Estimation and Cointegration Testing in VAR Processes with Level Shift," Economics Working Papers ECO2004/21, European University Institute.
- Yacine Ait-Sahalia & Robert Kimmel, 2004. "Maximum Likelihood Estimation of Stochastic Volatility Models," NBER Working Papers 10579, National Bureau of Economic Research, Inc.
- Benoit Bellone, 2004. "MSVARlib: a new Gauss library to estimate multivariate Hidden Markov Models," Econometrics 0406004, University Library of Munich, Germany.
- Peter Tillmann, 2003. "Cointegration and Regime-Switching Risk Premia in the U.S. Term Structure of Interest Rates," Bonn Econ Discussion Papers bgse27_2003, University of Bonn, Germany.
- Hsiao, C. & Pesaran, M.H., 2004. "‘Random Coefficient Panel Data Models’," Cambridge Working Papers in Economics 0434, Faculty of Economics, University of Cambridge.
- Ralf BRUEGGEMANN & Helmut LUETKEPOHL, 2004. "Practical Problems with Reduced Rank ML Estimators for Cointegration Parameters and a Simple Alternative," Economics Working Papers ECO2004/20, European University Institute.