5 papers in the archive (2023–2026), average empirical rigor 1.1/10, average math complexity 6.8/10. Quadrant mix: Lab Rats ×4, Philosophers ×1.
Works mostly in Factor Investing & Asset Pricing, Stochastic Control & Optimal Stopping, Portfolio Optimization, Options & Derivatives Pricing.
Frequent co-authors: Alessandro Doldi (3), Marco Frittelli (2), Edoardo Berton (2), Marzia De Donno (1).
Scores are our LLM-assisted heuristics (methodology), not peer review or citation counts. Author pages are generated from paper metadata; name variants may split one person across pages. arXiv author page →
Ordered by a blend of empirical rigor (60%) and math complexity (40%).
Within a general semimartingale framework, we study the relationship between collective market efficiency and individual rationality. We derive a necessary and sufficient condition for the existence of (possibly zero-sum) exchanges among agents that strictly increase their indirect utilities and cha
This paper builds on “Collective Arbitrage and the Value of Cooperation” by Biagini et al. (2025, forthcoming in “Finance and Stochastics”), which introduced in discrete time the notions of collective arbitrage and super-replication in a multi-agent market framework, where agents may operate in seve
In an arbitrage-free simple market, we demonstrate that for a class of state-dependent exponential utilities, there exists a unique prediction of the random risk aversion that ensures the consistency of optimal strategies across any time horizon. Our solution aligns with the theory of forward perfor
We consider a family of conditional nonlinear expectations defined on the space of bounded random variables and indexed by the class of all the sub-sigma-algebras of a given underlying sigma-algebra. We show that if this family satisfies a natural consistency property, then it collapses to a conditi
\textit{Il significato soggettivo della probabilità} (1931) by B. de Finetti \cite{deF} is unanimously considered the rise of `subjectivism’, a notion which strongly influenced both Probability and Decision Theory. What is less acknowledge is that \cite{deF} posed the foundations of modern arbitrage