Moving average reversion strategy for on-line portfolio selection
On-line portfolio selection, a fundamental problem in computational finance, has attracted increasing interest from artificial intelligence and machine learning communities in recent years. Empirical evidence shows that stock's high and low prices are temporary and stock prices are likely to fo...
Saved in:
Main Authors: | LI, Bin, HOI, Steven C. H., SAHOO, Doyen, LIU, Zhi-Yong |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2015
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/2971 https://ink.library.smu.edu.sg/context/sis_research/article/3971/viewcontent/Moving_Aver_Rev_2015.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
On-line portfolio selection with moving average reversion
by: LI, Bin, et al.
Published: (2012) -
Combination forecasting reversion strategy for online portfolio selection
by: HUANG, Dingjiang, et al.
Published: (2018) -
PAMR: Passive-Aggressive Mean Reversion Strategy for Portfolio Selection
by: LI, Bin, et al.
Published: (2012) -
Investment strategies for stock markets with mean reversion
by: Eng, M.H., et al.
Published: (2014) -
Robust median reversion strategy for online portfolio selection
by: HUANG, Dingjiang, et al.
Published: (2016)