18 resultados para credit rating agencies, sovereign ratings, sovereign risk, public debt

em BORIS: Bern Open Repository and Information System - Berna - Suiça


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In the aftermath of the 2008 crisis, scholars have begun to revise their conceptions of how market participants interact. While the traditional “rationalist optic” posits market participants who are able to process decisionrelevant information and thereby transform uncertainty into quantifiable risks, the increasingly popular “sociological optic” stresses the role of uncertainty in expectation formation and social conventions for creating confidence in markets. Applications of the sociological optic to concrete regulatory problems are still limited. By subjecting both optics to the same regulatory problem—the role of credit rating agencies (CRAs) and their ratings in capital markets—this paper provides insights into whether the sociological optic offers advice to tackle concrete regulatory problems and discusses the potential of the sociological optic in complementing the rationalist optic. The empirical application suggests that the sociological optic is not only able to improve our understanding of the role of CRAs and their ratings, but also to provide solutions complementary to those posited by the rationalist optic.

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Interest is growing in the impact that science can have on reducing poverty in the global South. If we understand impact as the “demonstrable contribution that excellent research makes to society and the economy”, the concept encompasses a variety of contributions of research-related knowledge and skills that benefit people and the environment. One reason for the growing interest in impact in this context is research councils’ increasing focus on documenting the social and environmental benefits of science, as indicated by the above quotation from the British research councils. Another reason is that research funding agencies from the private and public sectors are now more interested in social innovations for solving problems on the ground. Research can indeed influence policymakers’ views, policy development, funding patterns, and implementation or practice. This is promising for those who would like to improve – and prove – the influence research can have on policy and practice. It is also of importance for better understanding the intended and unintended effects of research. This report presents the NCCR North-South approach to increasing the impact of development-oriented research. It explains how we can maximise our impact and how we can assess whether our efforts have worked, based on six case studies from around the world. The report is of interest to all researchers who wish to respond to policy and practice from their point of view and who are keen on publicising their evidence. It is also relevant to those who teach how to maximise research impact.

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The paper aims to shed light on the role of communication in the European debt crisis. It examines the effects of public statements by ECB Governing Council members, EU officials and national representatives on the PIIGS' CDS and bond yield spreads. The focus lies on dovish statements that signal strong determination in the rescue of indebted countries, and hawkish statements that indicate limited commitment to support the PIIGS and protect its creditors. The analysis of daily data for the period between January 1, 2009 and August 12, 2011 in an EGARCH framework suggests that communication by representatives of Germany, France, and the EU as well as ECB Governing Council members had an immediate impact on both types of securities. No effects.

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With the publication of the quality guideline ICH Q9 "Quality Risk Management" by the International Conference on Harmonization, risk management has already become a standard requirement during the life cycle of a pharmaceutical product. Failure mode and effect analysis (FMEA) is a powerful risk analysis tool that has been used for decades in mechanical and electrical industries. However, the adaptation of the FMEA methodology to biopharmaceutical processes brings about some difficulties. The proposal presented here is intended to serve as a brief but nevertheless comprehensive and detailed guideline on how to conduct a biopharmaceutical process FMEA. It includes a detailed 1-to-10-scale FMEA rating table for occurrence, severity, and detectability of failures that has been especially designed for typical biopharmaceutical processes. The application for such a biopharmaceutical process FMEA is widespread. It can be useful whenever a biopharmaceutical manufacturing process is developed or scaled-up, or when it is transferred to a different manufacturing site. It may also be conducted during substantial optimization of an existing process or the development of a second-generation process. According to their resulting risk ratings, process parameters can be ranked for importance and important variables for process development, characterization, or validation can be identified. LAY ABSTRACT: Health authorities around the world ask pharmaceutical companies to manage risk during development and manufacturing of pharmaceuticals. The so-called failure mode and effect analysis (FMEA) is an established risk analysis tool that has been used for decades in mechanical and electrical industries. However, the adaptation of the FMEA methodology to pharmaceutical processes that use modern biotechnology (biopharmaceutical processes) brings about some difficulties, because those biopharmaceutical processes differ from processes in mechanical and electrical industries. The proposal presented here explains how a biopharmaceutical process FMEA can be conducted. It includes a detailed 1-to-10-scale FMEA rating table for occurrence, severity, and detectability of failures that has been especially designed for typical biopharmaceutical processes. With the help of this guideline, different details of the manufacturing process can be ranked according to their potential risks, and this can help pharmaceutical companies to identify aspects with high potential risks and to react accordingly to improve the safety of medicines.

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The blaESBL and blaAmpC genes in Enterobacteriaceae are spread by plasmid-mediated integrons, insertion sequences, and transposons, some of which are homologous in bacteria from food animals, foods, and humans. These genes have been frequently identified in Escherichia coli and Salmonella from food animals, the most common being blaCTX-M-1, blaCTX-M-14, and blaCMY-2. Identification of risk factors for their occurrence in food animals is complex. In addition to generic antimicrobial use, cephalosporin usage is an important risk factor for selection and spread of these genes. Extensive international trade of animals is a further risk factor. There are no data on the effectiveness of individual control options in reducing public health risks. A highly effective option would be to stop or restrict cephalosporin usage in food animals. Decreasing total antimicrobial use is also of high priority. Implementation of measures to limit strain dissemination (increasing farm biosecurity, controls in animal trade, and other general postharvest controls) are also important.