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 |
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