On the Connection between the GEP Performances and the Time Series Properties
On the Connection between the GEP Performances and the Time Series Properties
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Publisher
Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Artificial intelligence (AI) methods are interesting alternatives to classical approaches for modeling financial time series since they relax the assumptions imposed on the data generating process by the parametric models and do not impose any constraint on the model’s functional form. Even if many studies employed these techniques for modeling fin...
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Full title
On the Connection between the GEP Performances and the Time Series Properties
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TN_cdi_doaj_primary_oai_doaj_org_article_df7901bd178a4973a3fb9ebeff52972f
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_df7901bd178a4973a3fb9ebeff52972f
Other Identifiers
ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math9161853
