Research Article
A Novel Online Portfolio Selection Strategy with Multiperiodical Asymmetric Mean Reversion
Algorithm 1
Online portfolio selection framework.
| (1) | Input: Historical market price relative sequence | | (2) | Output: Final cumulative wealth | | (3) | Initialization: , | | (4) | for to do | | (5) | Portfolio manager learns the portfolio based on historical information | | (6) | Market reveals the actual price relative | | (7) | Portfolio incurs daily return and updates cumulative return | | (8) | end for |
|