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Learn About The New Finance And Accounting AI Textbook
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Dr. Cao is an associate professor of FinTech, AI and Capital Markets at Robert H. Smith School of Business. His work includes the development of a research program focused on how unstructured big data and emerging AI technologies can help guide stock investment decisions as well as executives’ corporate decisions. Because most corporate reporting and disclosure data are unstructured and high-dimensional, such as text and images, this research topic is crucial for disclosure research in the field of accounting and Fintech, corporate finance & investment research in the field of finance. His research has been published in premier journals in finance, accounting, and computer science, including the Journal of Financial Economics, the Journal of Financial and Quantitative Analysis, the Journal of Accounting Research, The Accounting Review, Contemporary Accounting Research, and IEEE Computer. His collaborative studies with PhD students have been published in the Journal of Accounting Research and the Journal of Financial and Quantitative Analysis as well. He serves as an ad hoc associate editor at Management Science.
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Textual Analysis in Accounting and Finance
Data structure and analytics for Fintech
The evolving scope of FinTech and AI: examples and opportunities
Smith School and Accounting Firm GRF Partner For AI Initiative
Discussion at the SEC: Financial Market Reguation Conference May 2024
【应用实例】Federal Reserve San Francisco Fintech Conference 2022
The evolving scope of FinTech and AI
Expert Network Call
Smith School AI Literacy Course
金融科技的演变:案例和机遇
Visual information in the age of AI: Evidence from corporate Executive Presentat
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【应用实例】(中文)如何结合金融科技、人工智能和大数据公司财务 概论+实例 Machine learning Acct and Fin
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【文献总结】 Expanding Accounting Research Using Unstructured Qualitative Data
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【应用实例】特邀讨论AI+金融前景——加拿大注册会计师CPA大会(由多伦多大学主持,超过2,000名金融科技专业人士,高管参与)——2021年2月17日直播
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