From Financial Markets to ChatGPT: A Conversation With Andrew Lo
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gnuovq7l1ud8f69pwe03rkkqqcy6f7yy.pdf
Description
Published version
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234.45 KB
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Adobe PDF
Checksum (MD5)
65816653a1143d6b5c3d9ed97cbcf9ce
Author(s)
Lo, Andrew W
Meng, Xiao-Li
Vittert, Liberty
Date Issued
October 27, 2023
Journal
Harvard Data Science Review
Publisher
MIT Press
Citation
Lo, A. W., Meng, X.-L., & Vittert, L. (2023). From Financial Markets to ChatGPT: A Conversation With Andrew Lo. Harvard Data Science Review, 5(4).
Version
Final published version
Abstract
Harvard Data Science Review’s Founding Editor-in-Chief, Xiao-Li Meng, and Media Feature Editor, Liberty Vittert, interviewed Andrew W. Lo, the Charles E. and Susan T. Harris Professor at MIT’s Sloan School of Management, Director of the MIT Laboratory for Financial Engineering, and a principal investigator at the MIT Computer Science and Artificial Intelligence Laboratory, on the topic of data science for financial markets. Professor Lo was named one of TIME Magazine’s 100 Most Influential People in the world in recognition of his decades of work in financial markets.
In this conversation, they discussed the buzzwords around financial markets: AI, machine learning, big data, and more. They delved into what data can really tell us when it comes to how our money is invested, how machine learning has impacted financial forecasting, to what degree we should rely on AI for investment advice. In particular, Professor Lo shared his insights on whether data can be used to regulate financial markets or turn our individual irrationality rational, and whether there are any data science tools that can help us manage the ups and downs of financial markets, including the risks of cryptocurrencies.
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DOI of Published Version
https://doi.org/10.1162/99608f92.49328257
