Economics & Finance · PhD Student University of Verona
3rd Year PhD Student in Economics & Finance

Andrea
Stanghellini

I am a third-year PhD student in Economics and Finance at the University of Verona, enrolled in the Mathematics for Data Analytics and Finance track.

Andrea Stanghellini
News
Apr 2026
Visiting Concluded

Concluded a three-month research visit at Johns Hopkins University Carey Business School (Washington D.C.), hosted by Prof. Federico Bandi. Work on short-time expansions for rough processes with signatures.

May 2026
Concluded

Co-organizing the 3rd Early Career Workshop in Economics & Financial Mathematics — Verona, 12–13 May 2026.

Jun 2026
Upcoming

Presenting at the Advanced Stochastic Modelling Seminar — Vienna, 9 June 2026 (online).

Jun–Jul 2026
Upcoming

Presenting at the Bachelier World Congress — Bologna.

About
01

About me

I am a third-year PhD student in Economics and Finance at the University of Verona, enrolled in the Mathematics for Data Analytics and Finance track, supervised by Prof. Sara Svaluto-Ferro.

My research focuses on stochastic methods for finance, with particular emphasis on signature theory and its financial applications, volatility modeling, rough path theory, and rough stochastic differential equations. I am also interested in Volterra-type processes and their role in modeling memory effects and rough dynamics in financial markets.

Before the PhD, I completed a Master's degree in Mathematics at the University of Padova (110/110 cum Laude), with a thesis on CBI and Hawkes processes and their application to power markets, and a Bachelor's degree in Mathematics, also at Padova.

Signature Theory Rough Path Theory Volatility Modeling Volterra Processes Signature-Based Models in Finance
Research
02
Invited Talks
Jul 2024

Expected Signature and Market Calibration of Signature-Based Models

AMASES Summer School in Machine Learning for Finance · Bertinoro, Italy
Invited
Contributed Talks
Sep 2025

A Joint Framework for SPX, VIX and VXX

The Peter Carr Conference 2025 · Winterthur, Switzerland
Contributed
Jul 2025

A Joint Framework for SPX, VIX and VXX

Vienna Conference in Mathematical Finance · Vienna, Austria
Contributed
Event Organisation
May 2026

3rd Early Career Workshop in Economics & Financial Mathematics

Co-organizer · Verona, Italy · 12–13 May 2026
Co-organizer
Jul 2025

12th General AMaMeF Conference

Co-organizer · Verona, Italy · 23–27 July 2025
Co-organizer
May 2025

2nd Early Career Workshop in Economics

Co-organizer · Verona, Italy · 5–6 May 2025
Co-organizer
Curriculum Vitae
03

Education

2022 – present

PhD in Economics & Finance

University of Verona
Supervisor: Prof. Sara Svaluto-Ferro

2020 – 2022

MSc in [Your Degree]

University Name
Grade: [e.g. 110/110 con lode]

2017 – 2020

BSc in Economics

University Name

Experience

2023 – 2024

Research Assistant

Sara Svaluto-Ferro · University of Verona

2023

Teaching Assistant — [Course]

University of Verona · Undergraduate

2021

Research Internship

Institution / Company Name

Talks & Conferences

2024

[Conference Name]

City, Country · Presenter

2023

[Workshop / Summer School]

City, Country · Participant

2023

[Internal Seminar]

University of Verona · Presenter

Full academic CV available as PDF

Download CV (PDF) ↓
Visiting Experience

Research visit at Johns Hopkins University

During the visit I worked on short-time asymptotic expansions for rough processes using signature methods, which forms the basis of my second working paper, joint with Prof. Bandi and Prof. Sara Svaluto-Ferro.

The experience provided a valuable opportunity to engage with an international research environment, attend seminars, and strengthen collaborations at the intersection of rough path theory and financial econometrics.

Teaching
04

Teaching Activities

Teaching is an integral part of my academic life. I have served as a Teaching Assistant at the University of Verona across courses ranging from undergraduate calculus to graduate-level quantitative methods and financial mathematics.

I believe that explaining rigorous concepts clearly — whether to first-year students encountering analysis or to master's students applying mathematical tools to economics — is one of the most effective ways to deepen one's own understanding.

"You can't predict the future, but you can prepare for it — and mathematics is the best preparation we have." — Nassim Nicholas Taleb

I am always happy to discuss course materials or meet students. Feel free to reach out via email at andrea.stanghellini@univr.it.

Beyond Research
05

Academic duties & service

Alongside research and teaching, I am actively involved in the academic life of the Department of Economics at the University of Verona.

Since December 2024 I serve as Representative of PhD Students on the Department of Economics Council, contributing to decisions that affect the doctoral community.

Since October 2025 I am Co-coordinator of the Departmental Brown Bag Seminar Series, a regular seminar series that brings together researchers from across the department to share work in progress.

Outside Academia

Cycling, running & tennis

Outside academia I am passionate about endurance sports and tennis — cycling, running and tennis are my main outlets for staying active.

You can follow my activities on Strava →

Out & About
Contact
06

Get in touch

I'm always happy to discuss research, collaborations, or ideas. Feel free to reach out via email or find me on social networks.

Primary Affiliation

Department of Economics

University of Verona · Verona, Italy

Office

Room 1.13, Palazzo Santa Marta

Via Cantarane 24, 37129 Verona

PhD Programme

Mathematics for Data Analytics and Finance

Expected Graduation 2028
Supervisor: Prof. Sara Svaluto-Ferro