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首页> 外文期刊>International journal of operations research and information systems >Financial Asset Management Using Artificial Neural Networks
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Financial Asset Management Using Artificial Neural Networks

机译：使用人工神经网络的金融资产管理

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摘要

Investors typically build portfolios for retirement. Investment portfolios are typically based on four asset classes that are commonly managed by large investment firms. The research presented in this article involves the development of an artificial neural network-based methodology that investors can use to support decisions related to determining how assets are allocated within an investment portfolio. The machine learning-based methodology was applied during a time period that included the stock market crash of 2008. Even though this time period was highly volatile, the methodology produced desirable results. Methodologies such as the one presented in this article should be considered by investors because they have produced promising results, especially within unstable markets.
机译：投资者通常建立退休的投资组合。投资组合通常基于由大型投资公司通常管理的四个资产类别。本文提出的研究涉及开发人工神经网络的方法，该方法可以使用投资者来支持与确定资产在投资组合中分配的决策相关的决策。基于机器学习的方法在包括2008年股票市场崩盘的时间段中应用。即使这段时间段高度挥发性，方法也产生了理想的结果。投资者应该考虑本文中提出的方法，因为他们产生了有希望的结果，特别是在不稳定的市场内。

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