Taxable Stock Trading with Deep Reinforcement Learning

Shan Huang

Papers from arXiv.org

Abstract: In this paper, we propose stock trading based on the average tax basis. Recall that when selling stocks, capital gain should be taxed while capital loss can earn certain tax rebate. We learn the optimal trading strategies with and without considering taxes by reinforcement learning. The result shows that tax ignorance could induce more than 62% loss on the average portfolio returns, implying that taxes should be embedded in the environment of continuous stock trading on AI platforms.

Date: 2019-07, Revised 2019-07
New Economics Papers: this item is included in nep-big, nep-cmp and nep-fmk
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