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N° 10 October 2023 Risks spillover between traditional and digital assets: an integrated network approach Vincenzo Pacelli, Matteo Foglia G11, G32 Blockchain technologies are revolutionizing the financial system. Digital Asset Investment (Dai) has emerged as a viable strategy to achieve portfolio dive...

N° 9 September 2023 Digital financial divide, new technologies and pandemic: a perfect storm in the European financial system? Greta Benedetta Ferilli, Valeria Stefanelli, Egidio Palmieri, Stefano Miani G21, G53, I22, I25 In the landscape of the technological-digital changes that are affecting the banking sector, the paper investigates the impact of financial, exogenous, and...

N° 7/8 July/August 2023 Finance, environment, and climate change: research developments and perspectives Annarita Trotta, Francesco Rania, Chiara Pujia, Eugenia Strano G21, G28, M14, O44 Over the past decade, the academic interest on the relationship between finance and environment has grown considerably, in line with a movement ...

N° 6 June 2023 The Esg orientation of European companies. Disputes, Value and Risks Paola Brighi, Antonio Carlo Francesco Della Bina, Valeria Venturelli G30, M14, Q56 Using an extensive international dataset of Esg scores provided by Refinitiv with reference to a sample of 1.271 listed companies headquartered in 22 geogr...

N° 5 May 2023 Financial graph literacy and financial consumers’ behavior: a survey in the Italian context Lucrezia Fattobene, Lucia Leonelli, Vincenzo Farina, Candida Bussoli D91, G11, G5 Graphs are commonly used in economic and financial communication to facilitate the understanding of data, but individuals often encounter difficulties ...

N° 3 March 2023 Dynamic asset allocation for Pension funds: a model based on genetic algorithms Ugo Pomante, Vincenzo Farina, Elisa Lupo, Paolo Antonio Cucurachi J26, J32 In this paper we propose a model that, with the help of genetic algorithms, allows the creation of personalized dynamics in the choice of the compartments ...

N° 1 January 2023 Early warning in the Shipping sector: a comparison between traditional and Machine Learning models Luca Giordano, Gianluca Mattarocci G21, G33, L91 The pro-active credit risk approach aims to identify variables that allow to anticipate borrowers’ default and literature has shown that the best proxies ....

N° 12 December 2022 Does the Net Stable Funding Ratio affect European cooperative banks’ riskiness? Erika Bragaglia G21, G28 In 2010 the Basel Committee on Banking Supervision (Bcbs) introduced new liquidity rules phased in under Basel III and, specifically, defined the Net Stabl...

N° 11 November 2022 Model risk in banking studies: a bibliometric analysis Simona Cosma, Giuseppe Rimo B20, G21, G28, G32 The use of models in banking management is constantly increasing and, consequently, the criticality of model risk is also growing ...

N° 10 October 2022 Does attitude towards finance predict the levels of financial knowledge? Elisa Bocchialini, Beatrice Ronchini D14, I21, I22 Studying affective factors that form attitudes is an increasingly relevant topic in the field of financial education. In this contribution, we study the re...

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