Ricerc@Sapienza

Since the outbreak of the economic and financial crisis of 2007–2008, the shadow banking system gained attention and caused concerns among standard setters, policy makers, and academics. This research is aimed at analysing the growth of the shadow banking system and assessing whether and how shadow banking entities should be further regulated. Using an instrument-based definition we infer the need for regulation in the shadow banking system by directly investigating the time series of asset backed commercial paper (ABCP) and securitised real estate loans (SREL).

Recent research has introduced ideas from concept drift into process mining to enable the analysis of changes in business processes over time. This stream of research, however, has not yet addressed the challenges of drift categorization, drilling-down, and quantification. In this tool demonstration paper, we present a novel software tool to analyze process drifts, called Visual Drift Detection (VDD), which fulfills these requirements.

In this chapter we summarize the main points of our overview and draw our conclusions. We discuss our interpretations about the reasons behind the different results and performance achieved by the Recurrent Neural Network architectures analyzed. We conclude by hypothesizing possible guidlines for selecting suitable models depending on the specific task at hand.

Over the last twenty years, the intimate sphere and the conjugal behaviour of italians is radically changed. Together with the increase of the number of mixed marriages and cohabitations we note, in fact, the increase in the divorce rate too (for example, in the early Nineties the total number of divorces was 27.682 and at the beginning of year 2010 this number was 54.160, almost double).