From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses
From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses
Date
2021
Authors
Wang, Junbo
Cao, Sean
Yang, Baozhong
Jiang, Wei
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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 analysts. 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.
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Keywords
Artificial Intelligence,
Machine Learning,
FinTech,
Stock Analyst,
Alternative Data,
Disruptive Innovation
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