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Report NEP-ETS-2014-04-11
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:
- Timo Teräsvirta & Yukai Yang, 2014, "Specification, Estimation and Evaluation of Vector Smooth Transition Autoregressive Models with Applications," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2014-08, Mar.
- Quoreshi, A.M.M. Shahiduzzaman, 2014, "Bivariate Integer-Valued Long Memory Model for High Frequency Financial Count Data," Working Papers, Blekinge Institute of Technology, Department of Industrial Economics, number 2014/03, Apr.
- Li, Yushu & Reese, Simon, 2014, "Wavelet improvement in turning point detection using a Hidden Markov Model," Discussion Papers, Norwegian School of Economics, Department of Business and Management Science, number 2014/10, Mar.
- Li, Yushu & Andersson, Fredrik N. G., 2014, "A simple wavelet-based test for serial correlation in panel data models," Discussion Papers, Norwegian School of Economics, Department of Business and Management Science, number 2014/11, Mar.
- Li, Yushu & Andersson, Jonas, 2014, "A Likelihood Ratio and Markov Chain Based Method to Evaluate Density Forecasting," Discussion Papers, Norwegian School of Economics, Department of Business and Management Science, number 2014/12, Mar.
- Costantini, Mauro & Lupi, Claudio, 2014, "Identifying I(0) Series in Macro-panels: Are Sequential Panel Selection Methods Useful?," Economics & Statistics Discussion Papers, University of Molise, Department of Economics, number esdp14073, Mar.
- Item repec:spo:wpmain:info:hdl:2441/dambferfb7dfprc9m052g20qh is not listed on IDEAS anymore
- Manabu Asai & Michael McAleer, 2014, "Forecasting Co-Volatilities via Factor Models with Asymmetry and Long Memory in Realized Covariance," Documentos de Trabajo del ICAE, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico, number 2014-05, Mar.