معرفی
Federico Siano is an Assistant Professor of Accounting at the University of Texas at Dallas (UT Dallas), affiliated with the Jindal School of Management. His research focuses on the intersection of accounting disclosures, textual analysis, and macroeconomic factors, leveraging machine learning and big data methods to explore topics like systematic risk, investor behavior, and financial reporting practices.
His work investigates how firms' disclosures influence market perceptions and risk premiums, with a particular emphasis on applying advanced analytical techniques to small datasets. Recent studies include analyses of earnings announcements, macroeconomic discourse in corporate communications, and challenges in financial statement replication.
Dr. Siano's research has been published in leading accounting and finance journals, addressing themes such as narrative-driven investing, LLM applications in financial text analysis, and the primacy of numerical data in disclosures.
