Research
My research uses NLP, machine learning, and computational statistics on large-scale textual and multimodal financial data to study corporate disclosure and its consequences — investor reactions to layered narratives, firm tax outcomes, disclosure cascades, and the diagnostics of topic models. Below: published work, working papers, work in progress, books, and recent talks.
Published
Investor Distraction and Multi-Dimensional Financial Narrative
published
2026
accounting
NLP
disclosure
featured
Using Narrative Disclosures to Predict Tax Outcomes
published
2026
accounting
NLP
tax
featured
Risk Guidance and Anti-Corruption Language: Evidence from Corporate Codes of Conduct
published
2024
accounting
NLP
governance
A Statistical Approach for Optimal Topic Model Identification
published
2022
machine-learning
NLP
methods
featured
Blockchain and Other Distributed Ledger Technologies: Where Is the Accounting?
published
2021
accounting
blockchain
A Multi-State Approach to Patients Affected by Chronic Heart Failure: The Value Added by Administrative Data
published
2018
biostatistics
healthcare
No matching items
Working papers
FinTag2Text: Mapping Financial Statement Disclosures with XBRL Data
working
accounting
NLP
XBRL
tax
It’s the Human Touch! Performance of Large Language Models in Highly-Specific Domains
working
machine-learning
LLM
NLP
The Information Content of Loan Contract Disclosures
working
accounting
NLP
Goodness-of-Fit Indices and Diagnostics for Topic Models
working
machine-learning
NLP
methods
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Work in progress
Disclosure Cascade: A Hawkes Process Approach
wip
accounting
NLP
stochastic-processes
M&A Bankers’ Human Capital: The Role of Expertise, Connections, and Background in Dealmaking
wip
accounting
corporate-finance
Ties That Blind: Social Networks, Pressure, and CEO Wrongdoing
wip
accounting
governance
No matching items
Books and monographs
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Selected talks
- 2026 — 48th EAA Annual Congress (Prague); Hanyang Accounting Research Symposium (Seoul, Korea); NHH Invited Seminar (Bergen); BI Invited Seminar (Oslo).
- 2025 — 47th EAA Annual Congress (Rome, discussant).
- 2024 — CIVICA Faculty Short Visit Seminar, IE University.
- 2023 — EAA Congress (Aalto, Helsinki); University of Padua.
- 2022 — EAA Congress (NHH, Bergen); NHH Seminar Series.
- 2021 — University of Bologna.
- 2020 — Portsmouth Business School.
- 2019 — AAA Annual Meeting (San Francisco); IIRAF (Beijing).
- 2018 — EAA Congress (Bocconi).
Research grants
- 2024–2026 — CIVICA Research Grant. EXECML — Using Machine Learning to Uncover Subjective Incentives in Executive Compensation, with IE University and Stockholm School of Economics. €35,000 (June 2024 – May 2026).
- 2024 — CIVICA Faculty Short Visits Program. Optimal Benchmarking for Mutual Fund Performance Evaluation with Natural Language Processing, IE University, Madrid, Spain (March 2024).
- 2020–2021 — Bocconi Senior Researchers’ Grant — Co-P.I. Multi-modal Communication in Corporate Reporting: Combining Words and Images in Corporate Disclosure. €9,000 (November 2020 – November 2021).
- 2019–2020 — Bocconi Junior Researchers’ Grant — P.I. edgartools: an Open Source Library to Efficiently Collect Financial Filings from SEC EDGAR Database. €8,000 (May 2019 – May 2020).