4 resultados para Credit stacking

em Repositório Científico da Universidade de Évora - Portugal


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This chapter aims at presenting and discussing credible online recruitment eliciting techniques targeting scientific purposes adjusted to the digital age. Based on several illustrations conducted by the author within the framework of both quantitative and qualitative inquiries, this chapter critically explores the digital ethos in three main challenges faced when dealing with online recruitment for scientific purposes: entering the normality of the everyday life, entering the idiosyncrasy of multicultural lives, and entering the chaos of busy lives. By the end, a toolbox for establishing and evaluating (dis)credibility within online recruitment strategies is presented. Moreover, it is argued that success of data collection at the present time in online environments seems to rely as ever on internal factors of the communication process vis-à-vis e-mail content, design and related strategies.

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This paper analyses the effect of the implementation process of the Single Euro Payments Area (SEPA) project on credit transfer payments in euro area countries during the period between 2008 and 2013.

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This article addresses the effects of the prohibition against naked CDS buying implemented by the European Union in November 2012. Three aspects of market quality are analyzed: liquidity, volatility, and price informativeness. Overall, our results suggest that the ban produced negative effects on liquidity and price informativeness. First, we find that in territories within the scope of the EU regulation, the bid–ask spreads on sovereign CDS contracts rose after the ban, but fell for countries outside its bounds. Open interest declined for both groups of CDS reference entities in our sample, but significantly more in the constraint group. Price delay increased more prominently for countries affected by the ban, whereas price precision decreased for these countries while increasing for CDSs written on other sovereign reference entities. Most notably, our findings indicate that hese negative effects were more pronounced amid reference entities exhibiting lower credit risk. With respect to volatility, the evidence suggests that the ban was successful in stabilizing the CDS market in that volatility decreased, particularly for contracts written on riskier CDS entities.

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This paper presents our approach of identifying the profile of an unknown user based on the activities of known users. The aim of author profiling task of PAN@CLEF 2016 is cross-genre identification of the gender and age of an unknown user. This means training the system using the behavior of different users from one social media platform and identifying the profile of other user on some different platform. Instead of using single classifier to build the system we used a combination of different classifiers, also known as stacking. This approach allowed us explore the strength of all the classifiers and minimize the bias or error enforced by a single classifier.