On Robustness of Adaptive Feedback Control for Stock Trading With Time-Varying Price Dynamics

We present an adaptive form of the simultaneous long-short (SLS) trading strategy, which employs feedback control principles for stock trading. Prior work established the “robust positive expectation” (RPE) theorem for the SLS strategy, asserting positive expectations of trading profits for stock prices following geometric Brownian motions with unknown parameters. We extend the RPE property to adaptive SLS strategies, which guarantee strictly positive expected profits even in round-trip price scenarios where traditional SLS strategies fail.

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Publication Details

Journal
IEEE Transactions on Automatic Control
Published
2024-11-19
DOI
https://doi.org/10.1109/tac.2024.3502506
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.54

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article

On Robustness of Adaptive Feedback Control for Stock Trading With Time-Varying Price Dynamics

Xiangyi Chen, Feng Zhu
1 citations
IEEE Transactions on Automatic Control
Stochastic processes and financial applications
0.54
article

On Robustness of Adaptive Feedback Control for Stock Trading With Time-Varying Price Dynamics

Xiangyi Chen, Feng Zhu
article en
1 citations

Abstract

We present an adaptive form of the simultaneous long-short (SLS) trading strategy, which employs feedback control principles for stock trading. Prior work established the “robust positive expectation” (RPE) theorem for the SLS strategy, asserting positive expectations of trading profits for stock prices following geometric Brownian motions with unknown parameters. We extend the RPE property to adaptive SLS strategies, which guarantee strictly positive expected profits even in round-trip price scenarios where traditional SLS strategies fail.

IEEE Transactions on Automatic ControlVol. 70(5)
Zhejiang University of Science and Technology (CN), Nankai University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 28%
Stochastic processes and financial applications
0.54
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