A Systematic Literature Review of Asset Pricing: Insights from AI and Big Data
Zynobia Barson (),
Richard Mawulawoe Ahadzie (),
Dan Daugaard () and
Joaquin Vespignani ()
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Zynobia Barson: Tasmanian School of Business & Economics, University of Tasmania, https://www.linkedin.com/in/zynobia-barson/
Richard Mawulawoe Ahadzie: Tasmanian School of Business & Economics, University of Tasmania, https://discover.utas.edu.au/RichardMawulawoe.Ahadzie
Dan Daugaard: Tasmanian School of Business & Economics, University of Tasmania, https://discover.utas.edu.au/Dan.Daugaard
Joaquin Vespignani: Tasmanian School of Business & Economics, University of Tasmania, https://discover.utas.edu.au/Joaquin.Vespignani
No 2025-03, Working Papers from University of Tasmania, Tasmanian School of Business and Economics
Abstract:
This paper systematically reviews the role of big data and artificial intelligence (AI) in asset pricing, analysing 130 journal articles published between 1994 and 2024. We categorise the literature into three themes: AI in asset pricing, big data in asset pricing, and their integration. Publications have grown exponentially since 2019 suggesting structural changes in asset pricing research which we highlight using thematic analysis. The bibliometric analysis shows key trends in AI models for predictive analytics and factor analysis. We identify research gaps and call for adaptive regulatory frameworks to support the ethical use of AI and big data in financial modelling.
Keywords: Big Data; Artificial Intelligence; Asset Pricing; Machine Learning; Systematic Literature Review; Alternative Data; Financial Markets (search for similar items in EconPapers)
JEL-codes: C55 C61 G12 (search for similar items in EconPapers)
Pages: 70 pages
Date: 2025
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Published by the University of Tasmania. Discussion paper 2025-03
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