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Gabriele Torri

Publications and source records attributed to Gabriele Torri.

3 recordsLinked to original sources

Market-Implied Sustainability: Insights from Funds' Portfolio Holdings

In this work we propose a framework to construct Market-Implied Sustainability (MIS) scores for individual firms by exploiting fund-level sustainability classifications and granular portfolio holdings. The central idea is that the relative over/under-representation of a stock in sustainability-oriented funds reveals a market-based assessment of its sustainability profile. We implement the methodology in the European context using the Sustainable Finance Disclosure Regulation (SFDR), considering Article 9 (``dark green'') funds as the sustainability-oriented segment and comparing their portfolio compositions to those of other funds. We compute MIS scores for a large cross-section of European companies over the period 2010--2025. We then examine how MIS relates to traditional firm-level ESG ratings provided by LSEG and analyze the determinants of potential divergences between the two measures. Finally, we assess the economic relevance of MIS through portfolio-tilting strategies, ranging from rule-based reallocations to constrained optimal allocation frameworks. The results show that MIS scores capture dimensions of sustainability that differ systematically from conventional ESG ratings. In portfolio applications, tilting toward firms with high MIS scores improves risk-adjusted performance, whereas strategies based solely on ESG ratings do not deliver comparable gains. Overall, the findings suggest that market-implied sustainability measures provide complementary information to fundamentals-based ESG metrics and have practical relevance for asset allocation and regulatory monitoring.

q-fin.PM

Modeling portfolio loss distribution under infectious defaults and immunization

We introduce a model for the loss distribution of a credit portfolio considering a contagion mechanism for the default of names which is the result of two independent components: an infection attempt generated by defaulting entities and a failed defence from healthy ones. We then propose an efficient recursive algorithm for the loss distribution. Then we extend the framework with more flexible distributions that integrate a contagion component and a systematic factor to better fit real-world data. Finally, we propose an empirical application in which we price synthetic CDO tranches of the iTraxx index, finding a good fit for multiple tranches.

q-fin.PR

An Axiomatic Risk-Reward Framework for Sustainable Investing

Continued interest in sustainable investing calls for an axiomatic approach to measures of risk and reward that focus not only on financial returns, but also on measures of environmental and social sustainability, i.e. environmental, social, and governance (ESG) scores. We propose definitions for ESG-coherent risk measures and ESG reward-risk ratios based on functions of bivariate random variables that are applied to financial returns and real-time ESG scores, extending the traditional univariate measures to the ESG case. We provide examples and present an empirical analysis in which the ESG-coherent risk measures and ESG reward-risk ratios are used to rank stocks.

q-fin.MF