Dear colleagues, you are all invited to participate in the following seminar organized by QFinLab - Department of Mathematics, Politecnico di Milano. Wednesday, 30 September 2026, 12.15-13.15 Seminar room, third floor, building 14, Via Bonardi 9, Milano<https://www.google.com/maps/search/Via+Bonardi+9,+Milano?entry=gmail&source=g> (Leonardo Campus); online (Microsoft Teams), Link<https://teams.microsoft.com/meet/332062461584077?p=SVGvCszyzeUQuEsnMp> <https://teams.microsoft.com/l/meetup-join/19%3ameeting_NjU3ODM1MzMtZWMwOS00NWI4LTliMTYtOTMwYTQ3OTI5NmU0%40thread.v2/0?context=%7b%22Tid%22%3a%220a17712b-6df3-425d-808e-309df28a5eeb%22%2c%22Oid%22%3a%22afb4ebfa-b975-4c1c-879c-a0dad0b4e60b%22%7d> Asmerilda Hitaj (Università dell’Insubria) Title: Robust bi-objective mean-CVaR portfolio selection: Applications to energy sector. Abstract: A new approach to optimizing or hedging a portfolio of financial positions is presented and tested with applications to energy market. Motivated by uncertainty in the estimation of problem data we consider robust bi-objective optimization problems with mean and conditional value-at-risk objective functions where the underlying probability distribution of portfolio return is only known to belong to a certain set. To tackle the problem of uncertainty we consider two different approaches: in the first one, uncertainty is represented by an elliptic set centered at the sample estimators of mean and covariance matrix; in the second one, uncertainty takes into account experts beliefs. For both approaches, we derive analytical semi-closed-form solutions for the worst-case mean-CVaR portfolio; in addition, we provide a characterization of the location of the robust Pareto frontier with respect to the corresponding original Pareto frontier. All news can be found on the QFinLab webpage<https://www.qfinlab.polimi.it/>. The organizers: Michele Azzone and Alessandro Calvia.