Report NEP-ETS-2014-12-13
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:
- David Walsh-Jones & Daniel Jones & Christoph Reisinger, 2014, "Modelling of dependence in high-dimensional financial time series by cluster-derived canonical vines," Papers, arXiv.org, number 1411.4970, Nov.
- Morten Ø. Nielsen & Michal Ksawery Popiel, 2018, "A Matlab Program And User's Guide For The Fractionally Cointegrated Var Model," Working Paper, Economics Department, Queen's University, number 1330, May.
- Malik, Muhammad Irfan & Rehman, Atiq-ur-, 2014, "Choice of Spectral Density Estimator in Ng-Perron Test: Comparative Analysis," MPRA Paper, University Library of Munich, Germany, number 59973, Nov.
- Item repec:dgr:uvatin:20140145 is not listed on IDEAS anymore
- Gael M. Martin & Brendan P.M. McCabe & Worapree Maneesoonthorn & Christian P. Robert, 2014, "Approximate Bayesian Computation in State Space Models," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 20/14.
- Paolo Santucci de Magistris & Federico Carlini, 2014, "On the identification of fractionally cointegrated VAR models with the F(d) condition," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2014-43, Nov.
- Francesca Di Iorio & Stefano Fachin, 2014, "Dealing with unobservable common trends in small samples: a panel cointegration approach," DSS Empirical Economics and Econometrics Working Papers Series, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome, number 2014/5, Nov.
- Ben Nasr, Adnen & Lux, Thomas & Ajmi, Ahdi Noomen & Gupta, Rangan, 2014, "Forecasting the Volatility of the Dow Jones Islamic Stock Market Index: Long Memory vs. Regime Switching," FinMaP-Working Papers, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents, number 2.
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