978 resultados para Capital markets


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Com a denominação de Capital Intelectual pretende-se reconhecer o conjunto de activos intangíveis de que dispõe uma organização. Os administradores das entidades públicas gerem activos intangíveis, tanto ou mais que os seus colegas das empresas privadas, o que justifica o seu crescente interesse nos progressos do Capital Intelectual. É, de qualquer modo, um tanto difícil aplicar ao sector público modelos desenhados para as empresas, tanto mais que os objectivos das administrações públicas diferem das empresas privadas, como a maximização do resultado ou a criação de valor para o accionista. Os recursos humanos, com os seus conhecimentos, habilidades e atitudes são fundamentais para que a entidade atinja os seus objectivos. A determinação do Capital Intelectual permite o estabelecimento de objectivos realistas assim como a pronta resolução dos problemas. Este trabalho é de duplo objectivo: analisar os distintos critérios propostos na literatura para diferenciar entre tipos de Capital Intelectual e propor um modelo de Capital Intelectual adaptado às características especiais do sector público. Apresentam-se também alguns indicadores de gestão do Capital Intelectual destinados ao sector público, agrupados em várias categorias.

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Orientadora: Prof. Doutora Ana Maria Alves Bandeira Co-orientadora: Prof. Doutora Patrícia Alexandra Gregório Ramos

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This poster, which is the result of an ongoing PhD thesis project, illustrates how and why the Intellectual Capital (IC) concept can be applied to a seaport. As far as the authors are aware, most of the research in IC has been focused on individual firms. Although some recent papers examine macro-level organizations, such as regions, none exist on seaports. Also, there is a lack of research related to the ways IC is created and maintained as a dynamic process. In addition, there is a paucity of management sciences’ research on to maritime transportation and seaports. Several research questions are thus pertinent, whose answers can have important strategic and managerial implications for the seaport and its stakeholders.

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A comunicação, que me proponho apresentar no Congresso Direito das Sociedades, centrar-se-á na análise das insuficiências das funções de garantia e de produtividade do capital social e das reservas na cooperativa, tendo sempre como parâmetro de comparação as funções que aquelas figuras desempenham na sociedade comercial. Tal comparação permitir-nos-á aferir do diferente papel que quer o capital quer as reservas desempenham naquelas duas entidades jurídicas.

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Centrando-se no capital social, esta obra pretende ser uma reflexão sobre os aspetos mais significativos do regime económico das cooperativas no Direito Português: o regime jurídico das entradas para o capital social nas cooperativas, o confronto entre aquelas e a chamada «massa de gestão económica», a determinação e distribuição de resultados, as funções do capital e das reservas, nomeadamente as reservas obrigatórias, e a problemática do aumento e redução do capital social cooperativo. Além disso, tendo como assente que a questão do capital diz respeito aos fundamentos do sistema económico cooperativo, procuraram-se respostas jurídicas adequadas para alguns dos problemas que o regime económico das cooperativas coloca no ordenamento português, muitos deles resultantes das características do capital social cooperativo, designadamente do seu carácter variável. Nesta procura faz-se o confronto entre a legislação cooperativa portuguesa e outras legislações de cooperativas, com particular destaque para a italiana, a espanhola, a francesa e a comunitária, para ilustrar outras soluções e, igualmente, para reflectir e propor alterações normativas à legislação positiva portuguesa, o que confere utilidade à obra, que interessará não apenas a juristas, mas também a todos os cooperativistas.

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Jornadas de Contabilidade e Fiscalidade promovidas pelo Instituto Superior de Contabilidade e Administração do Porto, em Abril de 2009

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Dissertação para obtenção do Grau de Mestre em Contabilidade e Finanças Orientadora: Professora Doutora Patrícia Ramos

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In a liberalized electricity market, the Transmission System Operator (TSO) plays a crucial role in power system operation. Among many other tasks, TSO detects congestion situations and allocates the payments of electricity transmission. This paper presents a software tool for congestion management and transmission price determination in electricity markets. The congestion management is based on a reformulated Optimal Power Flow (OPF), whose main goal is to obtain a feasible solution for the re-dispatch minimizing the changes in the dispatch proposed by the market operator. The transmission price computation considers the physical impact caused by the market agents in the transmission network. The final tariff includes existing system costs and also costs due to the initial congestion situation and losses costs. The paper includes a case study for the IEEE 30 bus power system.

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The large increase of renewable energy sources and Distributed Generation (DG) of electricity gives place to the Virtual Power Producer (VPP) concept. VPPs may turn electricity generation by renewable sources valuable in electricity markets. Information availability and adequate decision-support tools are crucial for achieving VPPs’ goals. This involves information concerning associated producers and market operation. This paper presents ViProd, a simulation tool that allows simulating VPPs operation, focusing mainly in the information requirements for adequate decision making.

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Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM is a multi-agent electricity market simulator to model market players and simulate their operation in the market. Market players are entities with specific characteristics and objectives, making their decisions and interacting with other players. MASCEM is integrated with ALBidS, a system that provides several dynamic strategies for agents’ behavior. This paper presents a method that aims at enhancing ALBidS competence in endowing market players with adequate strategic bidding capabilities, allowing them to obtain the higher possible gains out of the market. This method uses a reinforcement learning algorithm to learn from experience how to choose the best from a set of possible actions. These actions are defined accordingly to the most probable points of bidding success. With the purpose of accelerating the convergence process, a simulated annealing based algorithm is included.

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Renewable based power generation has significantly increased over the last years. However, this process has evolved separately from electricity markets, leading to an inadequacy of the present market models to cope with huge quantities of renewable energy resources, and to take full advantage of the presently existing and the increasing envisaged renewable based and distributed energy resources. This paper proposes the modelling of electricity markets at several levels (continental, regional and micro), taking into account the specific characteristics of the players and resources involved in each level and ensuring that the proposed models accommodate adequate business models able to support the contribution of all the resources in the system, from the largest to the smaller ones. The proposed market models are integrated in MASCEM (Multi- Agent Simulator of Competitive Electricity Markets), using the multi agent approach advantages for overcoming the current inadequacy and significant limitations of the presently existing electricity market simulators to deal with the complex electricity market models that must be adopted.

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The study of electricity markets operation has been gaining an increasing importance in last years, as result of the new challenges that the electricity markets restructuring produced. This restructuring increased the competitiveness of the market, but with it its complexity. The growing complexity and unpredictability of the market’s evolution consequently increases the decision making difficulty. Therefore, the intervenient entities are forced to rethink their behaviour and market strategies. Currently, lots of information concerning electricity markets is available. These data, concerning innumerous regards of electricity markets operation, is accessible free of charge, and it is essential for understanding and suitably modelling electricity markets. This paper proposes a tool which is able to handle, store and dynamically update data. The development of the proposed tool is expected to be of great importance to improve the comprehension of electricity markets and the interactions among the involved entities.

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All over the world Distributed Generation is seen as a valuable help to get cleaner and more efficient electricity. To get negotiation power and advantages of scale economy, distributed producers can be aggregated giving place to a new concept: the Virtual Power Producer. Virtual Power Producers are multitechnology and multi-site heterogeneous entities. Virtual Power Producers should adopt organization and management methodologies so that they can make Distributed Generation a really profitable activity, able to participate in the market. In this paper we address the development of a multi-agent market simulator – MASCEM – able to study alternative coalitions of distributed producers in order to identify promising Virtual Power Producers in an electricity market.