应用计算智能和机器学习技术进行投资组合优化的最新进展
State of the Art Review for Applying Computational Intelligence and Machine Learning Techniques to Portfolio Optimisation
摘要：
计算技术在金融领域已经显示出了很大的希望，因为它们能够从令人生畏的复杂系统中提取意义。本文回顾了这些技术中最有前途的，从传统的计算智能方法，他们的机器学习兄弟姐妹，特别是考虑到他们的应用优化管理的投资组合的金融工具。评估了当前的最新技术水平，并评估和推荐了未来的进一步工作
英文摘要：
Computational techniques have shown much promise in the field of Finance, owing to their ability to extract sense out of dauntingly complex systems. This paper reviews the most promising of these techniques, from traditional computational intelligence methods to their machine learning siblings, with particular view to their application in optimising the management of a portfolio of financial instruments. The current state of the art is assessed, and prospective further work is assessed and recommended
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
