Let stock market vectors form a stationary ergodic sequence. For fixed d ∈ N, a log-optimal portfolio selection function of the past d observed vectors is iteratively estimated on the basis of a training sequence by use of gradients and nonparametric regression. Strong consistency is obtained under a boundedness and α-mixing condition without further assumptions on the distribution
Published in:
Information Theory, IEEE Transactions on
(Volume:48
,
Issue:
1
)
Date of Publication:
Jan 2002
- Page(s):
-
324
-
333
- ISSN :
-
0018-9448
- INSPEC Accession Number:
-
7164795
- Digital Object Identifier :
-
10.1109/18.971764
- Product Type:
-
Journals & Magazines
- Date of Current Version :
-
07 August 2002
- Issue Date :
-
Jan 2002
- Sponsored by :
-
IEEE Information Theory Society