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This article examines the transformative impact of Robo-Advisors on wealth management through the integration of big data and artificial intelligence (AI) in algorithmic trading strategies. We explore how AI technologies, including machine learning and natural language processing, can analyze large datasets, identify market trends, and optimize investment portfolios. This study compares the performance of various forecasting algorithms within the robo-advisory framework, taking the efficient frontier into consideration as a key metric. The research highlights the potential of AI-driven innovations to improve investment decision-making and shape the future of financial services.

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Information Content of Machine Learning Under Robo-Advisory Inference

  • 会议论文

  • 发表日期：

    2025年

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  • Chih-Chuan Yeh

摘要

This article examines the transformative impact of Robo-Advisors on wealth management through the integration of big data and artificial intelligence (AI) in algorithmic trading strategies. We explore how AI technologies, including machine learning and natural language processing, can analyze large datasets, identify market trends, and optimize investment portfolios. This study compares the performance of various forecasting algorithms within the robo-advisory framework, taking the efficient frontier into consideration as a key metric. The research highlights the potential of AI-driven innovations to improve investment decision-making and shape the future of financial services.