Consistent estimation to determine the embedding dimension in financial data; with an application to the dollar/deutschmark exchange rate
To detect chaos on observational data, we first need to know the embedding dimension. We propose a consistent approach to estimate this dimension using the theoretical work of Bosq and Guegan (1994) and we apply the results to real financial data.
Year of publication: |
1997
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Authors: | Guegan, Dominique ; Leorat, Guillaume |
Published in: |
The European Journal of Finance. - Taylor & Francis Journals, ISSN 1351-847X. - Vol. 3.1997, 3, p. 231-242
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Publisher: |
Taylor & Francis Journals |
Keywords: | Dimension Of Correlation Dynamical Systems Embedding Dimension Kernel Estimates Lyapunov Exponents Non-PARAMETRIC Estimation |
Saved in:
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