1,721,039 research outputs found
SGR mobiliari captive ed indipendenti: redditività e valore nella value chain dell’asset management
No full textRischio operativo, rischio di mercato e valore degli asset manager. Il caso delle SGR mobiliari italiane
No full textLe operazioni di finanziamento, 2021, in A. Proto (a cura di), Le operazioni e i servizi bancari
No full text
Le operazioni di finanziamento, in A. Proto (a cura di), Le operazioni e i servizi bancari, settima edizione,
No full textVigilanza unica europea e rettifiche di valore prudenziali: una proposta nella prospettiva della sostenibilità dell’accesso al credito
No full textAs part of the Asset Quality Review conducted by the ecb since 2014 with reference to the main European banks, indicators typically used in corporate finance have been introduced. The element that unites the new guidelines appears to be the progressive abandonment of a backward-looking logic to embrace a fully forward-looking perspective based on the appreciation of cash flows. In the aqr framework, ebitda and dscr have assumed particular importance. As is known, the "aqr manual", with specific reference to the calculation of prudential provisioning, provides that banks, in a going concern perspective, estimate the recoverable amount of loans by appropriately discounting the cash flows. The aim of the work is to analyse the prudential provisioning model identified in the aqr framework in order to propose a generalization starting from the expected dscr of the borrower. The paper highlights how an "economic"approach to provisioning tends to reward companies capable of generating adequate prospective cash flows, in this way mitigating the potential allocative distortions implicit in the incentive structure underlying the aqr approach
La qualità degli impieghi dei gruppi bancari italiani. Evidenze empiriche e considerazioni di metodo
No full textUniversità di Venezia, Dipartimento di Economia e Direzione Aziendale, Serie Working Paper, 1 – 200
La qualità degli impieghi dei gruppi bancari italiani. Considerazioni di metodo ed evidenze empiriche con riferimento al periodo 1999-2002
No full textPRL: A game theoretic large margin method for interpretable feature learning
Full text linkThe crucial role played by interpretability in many practical scenarios has led a large part of the research on machine learning towards the development of interpretable approaches. In this work, we present PRL, a game-theory-based method capable of achieving state-of-the-art accuracy, yet keeping the focus on the interpretability of the predictions. The proposed approach is an instance of the more general preference learning framework. By design, the method identifies the most relevant features even when dealing with high-dimensional problems. This is possible thanks to an online features generation mechanism. Moreover, the algorithm is proven to be theoretically well-founded, thanks to a game-theoretical analysis of its convergence. To assess the quality of the proposed approach, we compared PRL against state-of-the-art methods in a plethora of different classification settings. The experimental evaluation focuses on interpretability, with an in-depth analysis of visualization, feature selection, and explainability
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