使用人工智能增强投资组合管理:文献综述
Kristina Sutiene1, Peter Schwendner2, Ciprian Sipos3
1Department of Mathematical Modeling, Kaunas University of Technology, Kaunas, Lithuania.
Frontiers in artificial intelligence
|April 23, 2024
概括
人工智能 (AI) 正在通过加强规划,执行和反来彻底改变投资组合管理. 这篇评论探讨了人工智能.
科学领域:
- 量化金融 量化金融
- 计算金融是指计算金融.
- 金融技术 (金融科技)
背景情况:
- 投资组合管理旨在通过最佳的资产配置来平衡风险和回报.
- 像马尔科维茨的平均方差理论这样的传统框架几十年来一直指导着资产配置.
- 人工智能的进步为复杂的金融问题提供了新的能力.
研究的目的:
- 审查投资组合管理中最先进的人工智能方法.
- 分析AI如何改变投资组合管理的核心步骤:规划,执行和反.
- 为了证明在AI驱动的金融中对资产配置的后期解释的应用.
主要方法:
- 对当前在投资组合管理中的AI应用进行文献综述.
- 分析AI对规划,执行和反阶段的影响.
- 案例研究说明了基于人工智能的资产配置的后期解释.
主要成果:
- 人工智能显著增强了传统的投资组合管理流程.
- 人工智能为复杂的资产配置挑战提供先进的解决方案.
- 临时解释对于解决人工智能融资中的透明度和可解释性至关重要.
结论:
- 人工智能是现代投资组合管理中的变革力量.
- 可解释的人工智能 (XAI) 对于监管合规和对金融应用程序的信任至关重要.
- 人工智能,特别是XAI的整合,有望提高欧洲投资业务的透明度.
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