941 resultados para Credit constraint


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The role played by the Big Three credit rating agencies (Standard & Poor’s, Moody’s, and Fitch) in the creation of the recent Financial Crisis has been well documented, as too has their conduct in the aftermath of the Crisis where they contributed to the prolonging of the effects of the systemic breakdown. Also, with a string of record fines and cease-and-desist orders in the wake of the Crisis lending weight to the notion that the Big Three have no plans of performing any more ethically, there are a number of organisations that are endeavouring to provide a better alternative to the stranglehold of the Big Three. In the first instalment of the Viability of a Response series we were introduced to the International Non-Profit Credit Rating Agency who, through the amalgamation of forward-looking and non-profit ideals, intends to inject some much needed ethical consideration into the process of providing ratings that are crucial to the marketplace . In this edition of the series, we will be introduced to the Universal Credit Rating Group (UCRG) which is an alliance between Dagong Global Ratings, RusRating, and Egan-Jones Rating Company. We will start by learning more about this alliance that is due to come into effect in the next few years, and then the article will examine the reality of the situation to come to a conclusion on what the Group’s chances of success may be.

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The recent development of the concept of microgrid (μGrid), associated to the emergent interest in microgeneration (μGen), has raised a number of challenges regarding the evaluation of the technical, economical and regulatory impacts of a high penetration of this kind of solutions in the power systems. In this paper, the topic of security of supply is addressed, aiming at evaluating the influence of μGen and μGrids in the medium- and long-term availability of generation to serve the forecasted load. A Monte-Carlo based methodology is used to evaluate this influence and to assess the capacity credit of those entities.

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Projeto de Graduação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Licenciada em Fisioterapia

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ABSTRACT: Short-term debt and credit ratings have benefits for financial reporting quality that may be associated with lower audit fees. Using U.S. data for 2003 through 2006, we find that short-term debt is negatively related to audit fees for firms rated by Standard & Poor’s, consistent with more monitoring and better governance mechanisms in firms with higher short-term debt. Credit ratings quality is negatively related to audit fees, consistent with ratings quality reflecting a firm’s liquidity risk, governance mechanisms, and monitoring from rating agencies. We also find that the negative relation between short-term debt and audit fees is stronger for firms with low-quality credit ratings, consistent with auditors pricing lender monitoring.

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Software Defined Networking (SDN) and Internet of Things (IoT) integration has thrown many critical challenges. Specifically, in heterogeneous SDN-IoT ecosystem, optimized resources utilization and effective management at the control layer is very difficult. This mainly affects the application specific Quality of Service (QoS) and energy consumption of the IoT network. Motivated from this, we propose a new Resource Management (RM) method at the control layer, in distributed SDN-IoT networks. This paper starts with reasons that why at control layer RM is more complex in the SDN-IoT ecosystem. After-that, we highlight motivated examples that necessitate to investigate new RM methods in SDN-IoT context. Further, we propose a novel method to compute controller performance. Theoretical analysis is conducted to prove that the proposed method is better than the existing methods.

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Credit Transfer (CT), Advanced Standing (AS), Credit for Prior Learning (CPL), Recognition of PriorLearning (RPL), Prior Learning Assessment and Recognition (PLAR), Accreditation of PriorExperiential Learning (APEL), Validation of Prior Learning (VPL), Prior Learning Assessment (PLA),Credit Transfer and Recognition (CTR), Recognition of Current Competency (RCC) and Credit forConcurrent Formal Learning (CCFL) are the terms used by academic institutions and engineeringschools to describe several types of credit arrangements depending upon a student’s current state ofqualification, experience, skills and knowledge towards the requirement of his/her formal professionalengineering qualification. The objectives of such credit arrangements are to make sure that thelearning is not duplicated, to reduce the duration and cost of the engineering studies, to encourageworking engineering associates and technologists return to engineering schools for professionalengineering qualification and to help upgrade the skills and knowledge of the junior engineeringpractitioners, to name a few. Formal, informal, non-formal or a combination of prior learning are usedfor such credit arrangements. Engineering schools offer block credit, specified credit, unspecifiedcredit and a combination of these forms of credits when recognising prior learning of any form.However, anecdotal and literature evidence suggests that the assessment of credit arrangementslacks established universal framework for assessment, lacks harmonisation, compatibility,transparency and comparability and is complex and inconsistent resulting a significant variations in theassessment for recognising prior learning across engineering schools in spite of being based onsimilar fundamental principles. There is a clear need of a consolidated framework in order to assesscredit arrangements systematically and consistently.PURPOSEThe purpose of this study is to develop a consolidated framework for assessing credit arrangementstowards a partial requirements of a professional engineering course, program, degree or qualification.The developed framework is expected to help manage the assessment of credit arrangement process.APPROACHThis study first critically reviews existing frameworks and literature evidences regarding the principlesof credit arrangements towards a partial requirements of a professional engineering course, program,degree or qualification. This study then uses evidence-based literature knowledge (principles,processes and practices) to devise a consolidated framework for assessing credit arrangements. Theframework is then expanded in order to elaborate its several components.RESULTSThe existing frameworks and literature review suggest that for better assessment of creditarrangements, attentions are to be given on the forms of prior learning, types of credit arrangements,forms of credit recognition, required documents, characteristics of the prior learning, alignment of priorlearning with professional engineering qualification and additional aspects.CONCLUSIONSAs the assessment of credit arrangements has been a major challenge for engineering schools, theframework developed in this study is expected to help engineering schools to manage the assessmentprocess systematically and consistently. For further study, the framework needs to be continuouslyimplemented, monitored and evaluated.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.

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As the Housing Credit Agency responsible for allocating Tax Credits in the State of Iowa, IFA must adopt a written Qualified Allocation Plan (QAP). The purpose of the QAP is to set forth the criteria that IFA will use in evaluating and monitoring Projects submitted to it by the Developer/Ownership Entity for consideration in making an allocation of Tax Credits. The Governor must approve the QAP after the public has had the opportunity to comment through a public hearing.