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model series break forecast method memory flation rates / research parameter 1.001 forecasting period table number flation estimation estimate hyung long-memory breaks model research 0.999 finance sample time series 95–110 business result ar model observation 0.996 perron analysis value in-sample period out-of-sample error frequency domain mle 1.000 paper sequential short-sample period estimate breaks forecast errors out-of-sample forecasting in-sample · · · regression example autocorrelation qt η t autoregressive 1.003 decay memory parameter 0.976 persistence performance 288 observations feature ar models 0.929 autoregressive models horizon component econometrics 0.994 forecast horizon beran full-sample process 0.958 rmsfe 0.930 short-sample 0.997 1.004 correlation commodity time series models
1 Most Recent Publications
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Structural breaks and long memory in US inflation rates: do they matter for forecasting
(Article)
Hyung, N. Franses, Ph.H.B.F. Penm, J. |
2006-03-01
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