FRANCESCO GROSSETTI
Courses a.y. 2023/2024
20564 BIG DATA FOR BUSINESS DECISIONS
30518 INTRODUCTION TO BLOCKCHAIN
30599 COMPUTATIONAL APPLICATIONS IN ACCOUNTING
Courses previous a.y.
Biographical note
I am an Assistant Professor of Accounting Analytics and Data Science at Bocconi University. I graduated in Astrophysics and Space Physics from Università Degli Studi di Milano-Bicocca and obtained a Ph.D. in Applied and Computational Statistics from Politecnico di Milano. I have served as a reviewer for the following journals: Journal of Accounting and Public Policy, Finance Research Letters, Journal of Business, Finance, and Accounting, and Applied Stochastic Models in Business and Industry. I consider myself an active developer of open-source tools.
About
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.
Research interests
My research employs computational and statistical approaches to gain insights into the behavior of companies and investors' perceptions. Specifically, I use and enhance Natural Language Processing techniques and language models to examine the impact of financial and non-financial disclosures on key financial performance. Additionally, I leverage Deep Learning-based Computer Vision methods to extract visual information from financial disclosures. Furthermore, I investigate the economic implications of Blockchain and other Distributed Ledger Systems, exploring their potential to foster novel research avenues and revolutionize accounting practices. Finally, I work on time-to-event models and their stochastic properties to study the dynamic process that generate the observable accounting information at hand.
Working papers
Does the Story Matter? Putting Financial Statement Numbers into Context using XBRL Data
(revising for 2nd round submission to Journal of Accounting and Economics)
Investor Distraction and Multi-Dimensional Financial Narrative
(revising for 2nd round submission to Review of Accounting Studies)
Using Narrative Disclosures to Predict Tax Outcomes
(under review)
Selected Publications
Tax Avoidance Research: Exploring Networks and Dynamics of Global Academic Collaboration (Monograph)
Forthcoming in Springer SIDREA Series in Accounting and Business Administration, 2024
Environmental Awareness and Shareholder Proposals: The Case of the Deepwater Horizon Oil Spill Disaster
Corporate Governance: The International Journal of Business in Society, 2023
Risk Guidance and Anti-Corruption Language: Evidence from Corporate Codes of Conduct
Journal of Risk Research (forthcoming), 2023
Words and numbers: A disagreement story from post-earnings announcement return and volume patterns
FINANCE RESEARCH LETTERS, 2023
How did Covid-19 affect investors’ interpretation of earnings news? The role of accounting conservatism
FINANCE RESEARCH LETTERS, 2023
A statistical approach for optimal topic model identification
JOURNAL OF MACHINE LEARNING RESEARCH, 2022
Blockchain and other distributed ledger technologies: where is the accounting?
JOURNAL OF ACCOUNTING AND PUBLIC POLICY, 2021
Quando le immagini diventano un serbatoio di dati per le aziende
ECONOMIA & MANAGEMENT, 2022
Impact of in-hospital cardiac rehabilitation on mortality and readmissions in heart failure: A population study in Lombardy, Italy, from 2005 to 2012
EUROPEAN JOURNAL OF PREVENTIVE CARDIOLOGY, 26(8): 808-817., 2019
Multi-state approach to administrative data on patients affected by chronic heart failure
HEALTH CARE MANAGEMENT SCIENCE, 21: 281–291., 2018