From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses

S. Cao, Wei Jiang, Junbo Wang, Baozhong Yang
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引用次数: 19

Abstract

An AI analyst we build to digest corporate financial information, qualitative disclosure and macroeconomic indicators is able to beat the majority of human analysts in stock price forecasts and generate excess returns compared to following human analyst. In the contest of “man vs machine,” the relative advantage of the AI Analyst is stronger when the firm is complex, and when information is high-dimensional, transparent and voluminous. Human analysts remain competitive when critical information requires institutional knowledge (such as the nature of intangible assets). The edge of the AI over human analysts declines over time when analysts gain access to alternative data and to in-house AI resources. Combining AI’s computational power and the human art of understanding soft information produces the highest potential in generating accurate forecasts. Our paper portraits a future of “machine plus human” (instead of human displacement) in high-skill professions.
从人对机器到人+机器:股票分析的艺术和人工智能
我们建立的人工智能分析师能够消化公司财务信息、定性披露和宏观经济指标,在股价预测方面能够击败大多数人类分析师,并产生比跟随人类分析师更多的回报。在“人与机器”的竞争中,当公司复杂时,当信息高维、透明和大量时,人工智能分析师的相对优势更强。当关键信息需要机构知识(如无形资产的性质)时,人类分析师仍然具有竞争力。随着时间的推移,当分析师获得替代数据和内部人工智能资源时,人工智能相对于人类分析师的优势就会下降。结合人工智能的计算能力和人类理解软信息的艺术,在生成准确预测方面产生了最大的潜力。我们的论文描绘了在高技能职业中“机器加人类”(而不是人类被取代)的未来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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