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Gianfausto Salvadori
Ruolo
Ricercatore
Organizzazione
Università del Salento
Dipartimento
Dipartimento di Matematica e Fisica "Ennio De Giorgi"
Area Scientifica
Area 01 - Scienze matematiche e informatiche
Settore Scientifico Disciplinare
MAT/06 - Probabilita' e Statistica Matematica
Settore ERC 1° livello
Non Disponibile
Settore ERC 2° livello
Non Disponibile
Settore ERC 3° livello
Non Disponibile
Uno dei maggiori problemi nella stima del rischio operativo consiste nella carenza di serie storiche di perdite. Questo lavoro propone una metodologia per la valutazione dell’Operational Value-at-Risk sulla base, unicamente, delle opinioni di esperti raccolte attraverso un Risk Self Assessment. La metodologia illustrata può essere utile alle imprese di assicurazione e alle banche nell’ambito, rispettivamente, del primo e secondo Pilastro di Solvency 2 e del processo Icaap previsto da Basilea 2. Nel lavoro si mostrano tecniche originali per superare alcuni limiti delle metodologie comunemente adottate per lo stesso scopo. Un’applicazione nel settore assicurativo è utilizzata quale illustrazione.
Taranto is the most polluted area of Italy (and, probably, of Europe), characterized by a strong industrial presence since the early sixties. The pollutants involved in this study are carcinogens, mutagens, teratogens and neurotoxins. The target of this study is to look for possible temporal trends of leukemia mortality in this small province (no similar systematic studies are available), and to provide a historical, occupational, and gender interpretation of the results. In addition, a comparison with the overall Italian situation is presented. The study supports the association of larger leukemia mortality with residential proximity to sources of industrial pollutants, and emphasizes the urgency of an actual application of the existing regulations about pollutant emissions.
We present a statistical analysis of the laser ranging data of LAGEOS and LAGEOS 2 satellites which have provided a test of dragging of inertial frames, or frame-dragging, by rotating mass as predicted by General Relativity. As a result, the analysis of the residuals, after filtering out the periodic effects, is consistent with a Gaussian model, with a nonzero mean in agreement with the one predicted by Lense–Thirring effect.
The banking industry is heavily regulated because of the nature and role it plays in the financial and economic system. If on the one hand the enormous legislative activity that has characterized the banking system in recent years - the evolution of which is still ongoing - has focused on strengthening the protection of 'weak contractors' as well as the overall stability and the development of competitive conditions that are the same for international banks in different countries, on the other hand, it has forced banks to bear sub stantial costs to ensure regulatory compliance. Although in the past several studies have tried to quantify the cost of regulatory compliance and to verify the existence of economies of scale in this activity, this study is the first attempt to analyse the extent and the determinants of the costs of regulatory compliance for Italy. Using the estimated unatantum costs of compliance with the legislation on transparency, the study attempts to extrapolate empirical evidence on the impact of the different fulfilments that have to be faced on total unatantum and ongoing costs and on the existence of economies of scale.
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