Confidence Weighted Mean Reversion Strategy for On-Line Portfolio Selection
On-line portfolio selection has been attracting increasing attention from the data mining and machine learning communities. All existing on-line portfolio selection strategies focus on the first order information of a portfolio vector, though the second order information may also be beneficial to a...
Saved in:
Main Authors: | LI, Bin, HOI, Steven C. H., ZHAO, Peilin, Gopalkrishnan, Vivek |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2011
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2292 https://ink.library.smu.edu.sg/context/sis_research/article/3292/viewcontent/Hoi2011ConfidenceWeighted.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Confidence Weighted Mean Reversion Strategy for Online Portfolio Selection
by: LI, Bin, et al.
Published: (2013) -
Robust median reversion strategy for on-line portfolio selection
by: HUANG, Dingjiang, et al.
Published: (2013) -
PAMR: Passive-Aggressive Mean Reversion Strategy for Portfolio Selection
by: LI, Bin, et al.
Published: (2012) -
Soft confidence-weighted learning
by: WANG, Jialei, et al.
Published: (2016) -
OLPS: A toolbox for on-line portfolio selection
by: LI, Bin, et al.
Published: (2016)