Francesco Grossetti
Hello! I am an Assistant Professor of Accounting Analytics and Data Science. I received a BSc. in Physics and an MSc. in Astrophysics and Space Physics from Università degli Studi di Milano-Bicocca. I obtained my PhD in Applied and Computational Statistics from Politecnico di Milano within the MOX Laboratory of the Mathematics Department. Before becoming a faculty member of the Accounting Department, I have been a Postdoctoral Fellow at the same department. I published in several accounting and machine learning journals such as the Review of Accounting Studies, Journal of Accounting and Public Policy, and Journal of Machine Learning Research. I have also served as a reviewer for the following journals: Journal of Accounting and Public Policy, Journal of Business, Finance, and Accounting, Finance Research Letters, and Health Care Management Science. I consider myself an active developer of open-source tools.
Beyond research, I enjoy music and photography. I love to watch documentaries and love everything that is sci-fi and tech. In particular, I like to discover new software that is both open-source and useful. Last, space has always been my passion and I try to keep myself up-to-date with the latest news from the outer worlds.
My research uses computational and statistical methods to study corporate behavior and investors’ perceptions. I use Natural Language Processing and Machine Learning to analyze and predict the impact of financial and non-financial disclosures on key financial performance. I investigate the economic implications of Blockchain and other Distributed Ledger Systems, exploring their potential to transform accounting practices. Finally, I also implement time-to-event models and and study their stochastic properties to understand the dynamic process that generates observable accounting information.
Research Grants
- CIVICA Research Grant. EXECML --- Using Machine Learning to Uncover Subjective Incentives in Executive Compensation, with IE University and Stockholm School of Economics. Total amount: 35,000 € (June 2024 - May 2026).
- CIVICA Faculty Short Visits Program. Optimal Benchmarking for Mutual Fund Performance Evaluation with Natural Language Processing, IE University, Madrid, Spain (March 2024).
- Bocconi Senior Researchers' Grants - Co-P.I. Multi-modal Communication in Corporate Reporting: Combining Words and Images in Corporate Disclosure. 9,000 € (November 2020 - November 2021)
- Bocconi Junior Researchers' Grants - P.I. edgartools: an Open Source Library to Efficiently Collect Financial Filings from SEC EDGAR Database. 8,000 € (May 2019 - May 2020).