利用人工智能优化投资组合构建

C. Thim, Eric Seah
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引用次数: 7

摘要

本研究的目的是为了提高人工智能在实际市场中的实用性。本文推广了标准的马科维茨有效前沿理论,模拟并优化了投资组合结构,并开发了一个神经网络启发式方法,以更好地理解人工智能如何构建最优投资组合能力并为各级投资者提供优势的化学过程。
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Optimizing portfolio construction using artificial intelligence
The aim of this research is to enhance the practicability of Artificial Intelligence using Neural Network (NN) in the actual market. This paper generalized the standard Markowitz Theory's Efficient Frontier to mimic and optimise the portfolio construction and develop a neural network heuristic to better understand the chemistry of how Artificial Intelligence can construct optimal portfolio ability and provide advantages to all levels of investors.
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