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FRANCESCO GROSSETTI

FRANCESCO GROSSETTI
Assistant Professor
Department of Accounting
 

Courses a.y. 2022/2023

20564 BIG DATA FOR BUSINESS DECISIONS
30518 INTRODUCTION TO BLOCKCHAIN
30599 COMPUTATIONAL APPLICATIONS IN ACCOUNTING

Courses previous a.y.


Biographical note

Sep. 2018 - Present Assistant Professor at Accounting Department - Bocconi University.

Feb. 2017 - Aug. 2018. Postdoctoral Fellow with Grant at Accounting Department - Bocconi University.

Nov. 2013 - Jan. 2017. PhD Student in Applied and Computational Statistics at Modeling and Scientific Computing Lab (MOX) - Mathematics Department - Politecnico di Milano.

Sep. 2011 - Oct. 2013. Research Fellow with Grant at Management, Economics and Industrial Engineering - Politecnico di Milano.

Nov. 2010. MSc in Astrophysics and Space Physics - University of Milano-Bicocca.


Academic CV

Visiting Positions

  • 2022/10: Visiting Assistant Professor at IE Business School. 

Conferences & Research Seminars

  • 2022/12: Research Seminar at Norwegian School of Economics (NHH) - Invited research talk. 
  • 2022/07: Accounting Summer Camp at Universitat Pompeu Fabra 
  • 2022/06: 8th Berlin-Vallendar Conference on Tax Research at WHU Otto Beisheim School of Management: Risk Disclosure and (in-)Effective Tax Planning. 
  • 2022/05: 44th EAA  Annual Congress 2022 at Norwegian School of Economics: Risk Disclosure and (in-)Effective Tax Planning. 
  • 2021/05: Financial Reporting e Mercati dei Capitali Conference at Università di Bologna - Plenary session talk: Risk Disclosure and (in-)Effective Tax Planning.
  • 2021/05: Research Seminar Series at Portsmouth Business School (UK) - Invited online research talk.
  • 2020/05: Research Seminar Series at Free University of Bozen-Bolzano (Italy) - Invited research talk.
  • 2020/03: 1st Artificial Intelligence in Management Conference at USC Marshall (Los Angeles, USA) - A Better Picture: How Computer Vision Can Help Market Segmentation.
  • 2019/08: American Accounting Association Annual Meeting (San Francisco, USA) - Invited panelist in Machine Learning: corporate reporting insights.
  • 2019/07: Intelligent Information Retrieval in Accounting and Finance (Beijing, China) - When Less Is Not Necessarily More: Loosing Meaning with Dedicated Dictionaries.
  • 2018/05: Annual Congress of European Accounting Association (Milan, Italy) - Equity Analyst Responsiveness to the Tone in MD&A Filings.
  • 2017/11: Talent Workshop - EAA Job Market for Accounting Academics (Madrid, Spain) - Using Machine Learning and Survival Analysis to Estimate Analysts Speed to Incorporate Tone from MD&A Filings.
  • 2016/06: 48th Scientific Meeting of the Italian Statistical Society (Salerno, Italy) - A multi-state approach to patients affected by chronic heart failure: the value added by administrative data.
  • 2016/03: 8th IMA Conference on Quantitative Modeling in the Management of Health and Social Care (London, UK) - A multi-state approach to patients affected by chronic heart failure: the value added by administrative data.
  • 2015/04: StaTalks (Milan, Italy) Intensive Statistical Computing with R.

Research Grants

  • 2020: Bocconi Senior Researchers' Grants - from November 2020 to November 2021 - Co-Principal Investigator
  • 2019: Bocconi Junior Researchers' Grants - from May 2019 to May 2020 - Principal Investigator

Public Software

  • OpTop Optimal Topics Detection [hosted on Github]: R package which implements a set of statistical tools to detect and evaluate the optimal number of topics out of a Latent Dirichelet Allocation (LDA) model in the context of Natural Language Processing. This is a huge advantage since it provides a goodness of fit tool in the context of semi-supervised method such the LDA. This also protects from researcher own judgment when selecting topics.
  • msmtools Multi-State Models Tools [hosted on Github and available at official R repository CRAN]: R package which implements a fast and efficient algorithm to restructure classical longitudinal database into an augmented format. This increments the amount of information out of data and facilitates the modeling through the companion package msm.
  • statutils Statistical Utilities [hosted on Github]: R package which gathers several statistical utilities devoted both to data wrangling/management and modeling. In particular, it implements an automatic model selection procedure for linear models which enables to choose only high order effects. It also comes with a tool to reduce a dataset once it has been imputed through the mice package.

Scientific Affiliations

  • BIDSA Affiliate: Bocconi Institute for Data Science and Analytics (website here).
  • BAFFI-CAREFIN: Centre for Applied Research On International Markets, Money Banking and Regulation (website here):
    • Algorand Fintech Lab Research Unit.
    • MINTS: Monetary Innovation, New Techonologies and Society Research Unit.
  • AAA: American Accounting Association.
  • EAA: European Accounting Association.

Research areas

My research areas cover the fields of Accounting and Finance as well as Marketing and Management. I am involved in several research projects in which I am in charge of the development of all the computational and statistical methodology. My main research topics are:

  • Natural Language Processing: identification of relevant semantic structures and nuances in financial disclosure through machine learning.
  • Economic impacts of Blockchain and Smart Contract protocols. Decentralized Finance (DeFi) applications on distributed systems.
  • Multi-state models, survival analysis, and stochastic processes.
  • Development of efficient algorithms to process large in-memory data and to reduce computational time.
  • Artificial Intelligence and Computer Vision algorithms devoted to object detection and segmentation in uncontrolled environments (wild images).

Publications


SELECTED PUBLICATIONS

Published Papers

  • C. Lewis and F. Grossetti (2022): A Statistical Approach for Optimal Topic Model IdentificationJournal of Machine Learning Research (IF.  4.091).
  • M. Gietzmann and F. Grossetti (2021): Blockchain and other Distributed Ledger Technologies: where is the Accounting? - Journal of Accounting and Public Policy (IF. 2.815). DOI: http://dx.doi.org/10.1016/j.jaccpubpol.2021.106881.
  • E. Pasini, L. Comini, F.S. Dioguardi, F. Grossetti, A. Olivares, R. Aquilani, S. Scalvini (2020): Hypoalbuminemia as a Marker of Protein Metabolism Disarrangement in Patients with Stable Chronic Heart Failure - Minerva Medica (IF. 1.202)
  • S. Scalvini, F. Grossetti, A.M. Paganoni, M.T. La Rovere, R. Pedretti, M. Frigerio (2019): 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 (IF. 5.640). DOI: 10.1177/2047487319833512.
  • F. Grossetti, F. Ieva, A.M. Paganoni (2017): A multistate approach to hospital readmissions of patients affected by chronic heart failure: the value added by administrative data - Health Care Management Science (IF. 2.059). DOI: 10.1007/s10729-017-9400-z.
  • B. Gialanella, F. Grossetti, M. Mazza, L. Danna, L. Comini; (2017): Functional recovery after rotator cuff repair for full thickness tear: the role of biceps surgery - Journal of Sport Rehabilitation (IF. 1.811). DOI: 10.1123/jsr.2015-0055.
  • M. Vitacca, M. Paneroni, F. Grossetti, N. Ambrosino (2016): Is there any additional effect of tele-assistance on long term care programs in hypercapnic COPD patients? - Journal of Chronic Obstructive Pulmonary Disease (IF. 2576). DOI: 10.3109/15412555.2016.1147542.
  • G. Gavazzi, M. Fumagalli, M. Fossati, V. Galardo, F. Grossetti, A. Boselli, R. Giovanelli, M.P. Haynes (2013): Hα3: an Hα imaging survey of HI selected galaxies from ALFALFA. II. Star formation properties of galaxies in the Virgo cluster and surroundings - Astronomy & Astrophysics (IF. 6.209).
  • G. Gavazzi, M. Fumagalli, V. Galardo, F. Grossetti, A. Boselli, R. Giovanelli, M.P. Haynes, and S. Fabello (2012): Hα3: an Hα imaging survey of HI selected galaxies from ALFALFA. I. Catalogue in the Local Supercluster - Astronomy & Astrophysics (IF. 6.209).

Submitted Papers

  • M. Gietzmann, F. Grossetti, C. Lewis: Investor Inattention, Financial Narrative, and Tone-Based Heuristics (under review).
  • C. D'Augusta, F. Grossetti, C. Imperatore: Environmental Awareness and Shareholder Proposals: The Case of the Deepwater Horizon Oil Spill Disaster (2nd round Revise & Resubmit)
  • O. Bogachek, M. Gietzmann, F. Grossetti: Risk Guidance and Anti-Corruption Language: Evidence from Corporate Codes of Conduct (Revise & Resubmit).

Working Papers

  • O. Bogachek, A. DeVito, F. Grossetti: Risk Disclosure and (in-)Effective Tax Planning.
  • M. Gietzmann, F. Grossetti, A. Huang: Predicting the Success of Jawboning in Fight Letters: Evidence from a Deep Learning Approach.
  • A. Caglio, F. Grossetti, G. Melloni: Do Firms Speak ESG and Do Investors Listen? Information content and market effects of mandatory non-financial disclosures.
  • F. Grossetti and C. Lewis: OpTop: an R Package to Detect the Optimal Number of Topics.
  • Bogachek, O. and F. Grossetti: On the Non-Linear Value Relevance of Tone Measures.
  • F. Grossetti, G. Rubera, P. Cillo: A Better Picture: How Computer Vision Can Help Market Segmentation.

Books

Media