My research lies at the intersection of actuarial science, mathematical finance, and sustainable investment. I develop continuous-time stochastic control models to study how individuals, pension funds, and firms make long-term financial decisions under uncertainty, with a focus on financial risk, labour income, longevity risk, pension design, and sustainability-related constraints.

Revise-and-Resubmit

Revise & Resubmit

Journal: Quantitative Finance

The Sustainability Trade-Off: A Dynamic Constrained Portfolio Optimization Model with ESG Preferences

with Andrea Buffoli and Francesco Menoncin

This paper studies the trade-off faced by investors who care about both financial performance and sustainability. We model ESG preferences as constraints on portfolio composition in a continuous-time investment problem, showing how these constraints change the investor’s attainable wealth and optimal strategy. The framework provides closed-form solutions and measures the cost of sustainability as the utility loss relative to an unconstrained Merton benchmark. We also study how subjective ESG beliefs affect perceived returns, portfolio allocation, and the set of attainable investment outcomes.

Submitted Papers

Working Papers

From Theory to Measurement: An NLP Framework for Detecting Greenwashing in Sustainability Reports

Research Agenda

My research agenda is organised around three connected themes. First, I study long-term household and pension decisions, focusing on how labour income, longevity risk, pension rules, and retirement incentives shape consumption, labour supply, portfolio choice, pension accumulation, and retirement timing.

Second, I study sustainable investment in dynamic settings. This work examines how ESG preferences and sustainability constraints affect optimal portfolio choice, pension fund investment, and the trade-off between financial performance and non-financial objectives.

Third, I examine sustainability-related risks at the firm level, including greenwashing risk and the gap between perceived and substantive sustainability. This strand studies how verification risk, information-driven repricing, and reputational incentives affect investment, payout, leverage, and sustainability effort.

Methodologically, my work combines stochastic control, optimal stopping, dynamic portfolio choice, and numerical analysis. My aim is to develop models that are mathematically rigorous, tractable, and closely connected to questions in actuarial science, pension finance, and sustainable finance.

Research Interests

Actuarial science · stochastic control · pension economics · life-cycle finance · portfolio choice · longevity risk · sustainable investment · greenwashing risk