On the use of Nearest Neighbors in finance
Dominique Guégan and
Nicolas Huck ()
Finance, 2005, vol. 26, issue 2, 67-86
Abstract:
Nearest Neighbors are a non linear non parametric forecasting method often used in finance. This work focus on the way Nearest Neighbors are applied in the existing literature. We observe that the selection?s methods of the embedding dimension and of the number of neighbors via phase space reconstruction and in sample predictions lead to distort the idea underlying the Nearest Neighbors approach. Propositions for a better usage of Nearest Neighbors are given.
Date: 2005
References: Add references at CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.cairn.info/load_pdf.php?ID_ARTICLE=FINA_262_0067 (application/pdf)
http://www.cairn.info/revue-finance-2005-2-page-67.htm (text/html)
free
Related works:
Working Paper: On the use of nearest neighbors in finance (2005) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cai:finpug:fina_262_0067
Access Statistics for this article
More articles in Finance from Presses universitaires de Grenoble
Bibliographic data for series maintained by Jean-Baptiste de Vathaire ().