no code implementations • 23 Jan 2024 • Francesco Cesarone, Justo Puerto
We prove that our EI model based on OWA selects portfolios that dominate a given benchmark through this new form of stochastic dominance criterion.
no code implementations • 17 Dec 2023 • Francesco Cesarone, Manuel Luis Martino, Federica Ricca, Andrea Scozzari
For the ESG evaluation of the securities in the market, we consider more than one agency and propose a new approach to overcome the problem related to the disagreement between the ESG ratings by different agencies.
no code implementations • 17 Dec 2023 • Francesco Cesarone, Massimiliano Corradini, Lorenzo Lampariello, Jessica Riccioni
We focus on a behavioral model, that has been recently proposed in the literature, whose rational can be traced back to the Half-Full/Half-Empty glass metaphor.
no code implementations • 15 Dec 2023 • Francesco Cesarone, Rosella Giacometti, Manuel Luis Martino, Fabio Tardella
In this paper, we propose a general bi-objective model for portfolio selection, aiming to maximize both a diversification measure and the portfolio expected return.
no code implementations • 18 May 2023 • Francesco Cesarone, Rosella Giacometti, Jacopo Maria Ricci
In this paper, we propose an outlier detection algorithm for multivariate data based on their projections on the directions that maximize the Cumulant Generating Function (CGF).
no code implementations • 25 Mar 2022 • Daniele Bufalo, Michele Bufalo, Francesco Cesarone, Giuseppe Orlando
Then, assuming that the returns follow skew geometric Brownian motions and that they are correlated, we describe some statistical properties for the \emph{ex-post}, the \emph{ex-ante} tracking errors, and the forecasted tracking portfolio.
no code implementations • 18 Nov 2021 • Francesco Cesarone, Manuel L Martino, Fabio Tardella
We thus obtain a portfolio selection model characterized by three criteria: expected return, variance, and VaR at a specified confidence level.
no code implementations • 23 Oct 2021 • Çağın Ararat, Francesco Cesarone, Mustafa Çelebi Pınar, Jacopo Maria Ricci
In this paper, we investigate the features and the performance of the Risk Parity (RP) portfolios using the Mean Absolute Deviation (MAD) as a risk measure.