Analysis of time series by re-sampling
The Box-Jenkins methodology is very often used in financier when the time series are analyzed. The estimations of the parameters of the selected models are one of the first tasks of the analysis. The important problem that emerges in connection with the parameters estimation is the problem of thei...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IDOSI Publication
2013
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/29657/1/29.pdf http://irep.iium.edu.my/29657/ http://www.idosi.org/wasj/WASJ21(mae)13/29.pdf |
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| Summary: | The Box-Jenkins methodology is very often used in financier when the time series are analyzed.
The estimations of the parameters of the selected models are one of the first tasks of the analysis. The important
problem that emerges in connection with the parameters estimation is the problem of their accuracy.
This accuracy is often characterized by the bias and standard deviation. When we want to determine these
characteristics by the exact methods some problems often emerge. One possibility of the solution of these
problems is the bootstrap methods application. Three different approaches of the application of these methods
in the autoregressive model are demonstrated in this paper. Simulation studies are conducted to evaluate the
methods.
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