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Sean Cao - Professor of FinTech, AI and Capital Markets

Curriculum Vitae

Research Summary

Data Analytics Teaching

Biography

Pronouncing "Cao曹" 

History of "Cao曹"

Sean Cao

Cochair RFS FinTech conferences with RFS editorial team: Itay Goldstein and Manju Puri  See RFS website

AI and ESG talk with Oliver Hart (Nobel Laureate)

Deliver AI keynote talks around the world with Oliver Hart (Nobel Laureate) and other interesting Innovators 

I co-chair FinTech conferences with Review of Financial Studies

2021 and 2022 GSU-RFS FinTech Conferences

with dual submission option to RFS

Sponsoring Editors of the RFS: Itay Goldstein (University of Pennsylvania) and Manju Puri (Duke University);  Submission deadline: October 25, 2021 (Email me if any questions)

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RFS website:  http://rfssfs.org/news/2022-gsu-rfs-fintech-conference/

 

SSRN announcement at https://www.ssrn.com/index.cfm/en/janda/announcement/?id=9160

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I provide service as


Management Science, Guest Associate Editor


Grant reviewer for national foundations:

  • Evaluating Fintech Chair Professorship for the Canada Research Chairs Program 

  • Social Sciences and Humanities Research Council of Canada 

  • Swiss National Science Foundation (SNSF)

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Research Awards  for FinTech, AI and Machine Learning


Award recipient of Deloitte Initiative for AI and Learning for developing trustworthy AI for social equity and climate change


Fama-DFA Prize for the best paper published in Journal of Financial Economics in the areas of capital markets and asset pricing (with coauthors), From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses


Michael J. Brennan Award for the best paper published in Review of Financial Studies (with coauthors), How to Talk When Machines are Listening: Corporate Disclosure in the Age of AI

 

PanAgora Asset Management’s Dr. Richard A. Crowell Memorial Prize (with coauthors), Visual Information and AI Divide: Evidence from Corporate Executive Presentations.”

  • For those intrigued by the application of AI in extracting trading signals from corporate production pictures, we invite you to explore this research. Additionally, our paper delves into documenting the potential AI divide among various investor groups.

 

American Association of Individual Investors (AAII) Best paper award winner (with coauthors), From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses, 2022 Midwest Finance Association

 

Best Paper Award Winner (with coauthors), From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses, 2022 Global AI Finance Conference


Best Paper Award Winner in Asset Pricing (with coauthors), From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses, 2022 SFS Cavalcade Asia-Pacific Conference


Keynote speeches for FinTech, AI and Machine Learning


Keynote Speaker for Beyond Compliance: Reimagining Corporate Governance in the Age of AI with (Oliver Hart, Nobel Laureate and Alex Edmans, Author of Grow the Pie), Saudi Arabia, December 2024


Short Keynote Speaker for 5th ACM International Conference on AI in Finance (ICAIF'24) at New York University Tandon School of Engineering, November 2024 


Panel Speaker for U.S. Securities and Exchange Commission, IOSCO, FINRA Conference, Pannel session: “Regulation and AI in financial service”, New York City, September 2024 


Keynote Speaker for European Financial Management "Merton H. Miller" Doctoral Special Session: “AI and Finance” at Lisbon School of Economics and Management (IESG), July 2024


Keynote Speaker for "Applications of AI Tools for Governance Research" at Indiana University, The Kelley Institute for Corporate Governance (Kelley ICG), May 2023


Keynote Speaker for Pacific-Basin Finance Journal (PBFJ) special issue conference on “Artificial Intelligence and Machine Learning in Corporate Finance”, December 2023.

 

Keynote Speaker for “Machine Learning, AI and FinTech in Capital Market” at Central Bank of Thailand and Stock Exchange of Thailand, Bangkok, Thailand, July 2023

 

Panel Speaker at “2023 AAAI Conference on Artificial Intelligence”

 

Panel Speaker at the Academy of Management conference for “Textual and Voice Analysis for CEO Traits and Emotion: Challenges and Future Research Directions”, August 2022 

Free AI Textbook Download  

Click for the overview of the free AI textbook

Textbook for download:

·  PDF version: Analytics for Finance and Accounting: Data Structures and Applied AI

·  Tutorial videos: Click the link to watch videos for each chapter. Each chapter of the textbook includes tutorial videos designed for both instructors and students. 

Slides for download

·  Tutorial slides

Python tutorial for web crawling and fundamental textual analysis:

·  Crawling SEC Edgar

·  Parsing 10-K filings

·  Applying GPT: analyzing conference call transcripts using both API and web interface

The textbook has gained recognition and adoption in universities worldwide, serving as a valuable resource for undergraduate, master's, and PH.D. courses. Notable institutions, such as the University of Maryland, Indiana University, UT Dallas, and University of Minnesota.


If you prefer a paperback or Kindle version, you can get it from Amazon.com:

Free AI Videos on Industry AI adoption, Academic Research, and Accessible Tools

By invitations, I develop One-week research workshops on Machine Learning, AI and FinTech for PhD students and junior faculty

invited by 

  • U.S. Universities: Rice University, Harvard, Indiana University, University of Minnesota, UT Dallas

  • International: Lancaster University, the Finnish doctoral program (KATAJA), KAIST, Korea Advanced Institute of Science and Technology -한국과학기술원


Part 1: Overview of Academic Research and Industry Adoption

Video: AI in Academic Research and Industry Adoption


Part 2: Examples of Academic Research

Video: Examples of academic research in AI, FinTech and ML

Video: How to generate (positive screen) and eliminate ideas (negative screen)


Part 3: AI tools and data for Research

Video: Overview of AI Textbook for Tools and Big Data

Click for the press release and overview of the free AI textbook 


Video: Applied LLM as Research Assistants to construct replicable text variables

Video: Applied LLM for Research: Exploring Prompt Engineering and Parameter-Efficient Tuning

Video: Forward-looking bias of using LLM:  the Nature of Problems and Potential Solutions

Video: Interpretable Methods for LLMs, NLP, ML

Video: DeepSeek, Grid Search / Parameter Tuning

Video: Introduction to Knowledge Graph


Part 4: LLM and AI for Teaching

Video:  build an AI teaching assistant for automating learning in financial statement analysis 


  ·    See more Tutorial Videos on YouTube

·     Chinese version on Bilibili

How to Generate Ideas for AI Research? 

Shared readings for Ph.D. students: Drawing Insights from Ph.D. seminars at Rice University, Harvard, Indiana University, University of Minnesota,

(download here)

  • Video for: How to generate (positive screen) and eliminate ideas (negative screen)

  • Word file for: Exploring the Art of Generating and Assessing Research Ideas 

Coverage for Research

Regulatory:

  • SEC Conference on Financial Market Regulation link

  • PCAOB/JAR conference 2018 link

  • Federal Reserve Bank Conference for Financial Stability link

  • National Bureau of Economic Research (NBER) Digest link

  • National Bureau of Economic Research (NBER) Big Data conference link

  • National Bureau of Economic Research (NBER) Artificial Intelligence conference link

  • National Bureau of Economic Research (NBER) Blockchain conference link


Media:

  • Financial Times link

  • CNBC link

  • Bloomberg link and Yahoo Finance link

  • The Guardian  link

  • Quartz  link

  • Columbia University Blue Sky Blog on corporations and capital markets link

  • University of Oxford Business Law Blog link

  • Duke University Global Financial Markets Center link

  • University of Chicago Booth Review link

  • Multiple commentaries invited by Wallethub.com

   Research Papers at SSRN 

    Google Scholar Homepage

Selected FinTech, AI and Disclosure Works


  • How to Talk When Machines are Listening: Corporate Disclosure in the Age of AI , Review of Financial Studies     

   -  Presentation at Stockholm Business School (discussant: Tim Loughran)  Video Link


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

   -  Presentation at Wolfe Investment Research Video in English , Video in Chinese


  • Expert Network Calls (by hedge funds)


  • Visual Information in the Age of AI: Evidence from Corporate Executive Presentations


  • The Strategic Use of 13F Restatement by Hedge Funds


  • Managerial Risk Assessment and Fund Performance: Evidence from Textual Disclosure


  • Beyond the Lines: Deciphering Private Information from Fund Managers' Narratives 


  • Financial Reporting and Blockchains: Audit Pricing, Misstatements, and Regulation


  • Negative Peer Disclosure. Journal of Financial Economics 


  • Copycat Skills and Disclosure Costs: Evidence from Peer Companies’ Digital Footprints, Journal of Accounting Research


  • Technological Peer Pressure and Product Disclosure. The Accounting Review  


  • Labor Market Benefit of Disaggregated Disclosure. Contemporary Accounting Research


  • Venture Labor: A Nonfinancial Signal for Start-up Success


  • Skin in the Game: Operating Growth, Firm Performance, and Future Stock Returns. Journal of Financial and Quantitative Analysis


  • Reexamining Growth Effects: Are All Types of Asset Growth the Same? Contemporary Accounting Research 


  • Earnings volatility, post–earnings announcement drift, and trading frictions. Journal of Accounting Research 

Videos for fun: 

Kayaking in Alaska

camping and cooking

basketball on campus

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