Christian Kascha and Carsten Trenkler, "Simple Identification and Specification of Cointegrated VARMA Models", Journal of Applied Econometrics, Vol. 30, No. 3, 2015, pp. 675-702. All files are stored in the zip file kt-files.zip, which includes a main folder and several subfolders. All text files are ASCII files in DOS format, but there is also one binary (.xls) file. Unix/Linux users should therefore exercise caution. DATA: The data used in the paper are stored in "/data/USdata.csv", which contains the data in ASCII format. There are 5 data series with 516 monthly observations in time ranging from 1970:1 to 2012:12. The series are: - TB 3M: 3-Month Treasury Bill: Secondary Market Rate - TB 6M: 6-Month Treasury Bill: Secondary Market Rate - GS 1 : 1-Year Treasury Constant Maturity Rate - GS 5 : 5-Year Treasury Constant Maturity Rate - GS 10: 10-Year Treasury Constant Maturity Rate The data originate from the FRED database of the Federal Reserve Bank of St. Louis; http://research.stlouisfed.org/fred2/ In addition, there is the (binary) file "/data/USdata.xls" which is used in the MATLAB programs. Sheet 3 contains the data used in the paper. PROGRAMS: All the MATLAB files to generate the main results of the paper are in the base folder. These are make_all_tables.m: Generate the tables. make_com2RW_graph.m: Generate graphs showing cumulative sums of squared prediction errors. make_frcst_comp.m: Compute forecasts for empirical application. make_yield_graph.m: Generate graph of all yields. MCcomp_FMA_ECH.m: Produce Monte Carlo study for comparing FMA and Echelon identification. MCcomp_hT_nu_choices.m: Produce Monte Carlo study for comparing parameters in order estimation. All programs should run provided the necessary input is computed first and appropriate directories are made to save to. The folder mfiles contains a large number of Matlab (.m) files that may be called by the programs in the base folder.