O crédito concedido às empresas: antes e no decorrer da crise mundial. Análise e gestão do risco de crédito

O tema do trabalho de investigação é a análise do risco de crédito às empresas antes e durante a actual crise financeira, bem como a sua gestão. A gestão de risco de crédito das instituições financeiras tem-se transformado cada vez mais numa peça chave para toda a actividade bancária, tendo ainda mais significado no mundo actual, em constante mudança e globalização. A concessão de crédito às empresas tornou-se numa tarefa cada vez mais árdua, para as instituições financeiras devido ao risco de crédito. A presente dissertação foi desenvolvida visando os objectivos de efectuar uma avaliação na concessão de crédito a empresas durante a crise, com ênfase na gestão do risco de crédito, bem como na utilização do Acordo de Basileia II. Para atingir os objectivos traçados a metodologia utilizada foi o inquérito por questionário a colaboradores da Caixa Geral de Depósitos (CGD). O questionário foi efectuado, de forma a captar quer os desenvolvimentos passados, como recentes, bem como a evolução esperada. Relativamente à evolução passada, as perguntas respeitam aos anos anteriores à crise, enquanto as perguntas prospectivas se referem aos anos seguintes. O trabalho desenvolvido permitiu-nos concluir que as instituições financeiras mundiais, desde o início da recessão, têm restringido ao máximo a concessão de crédito às empresas. Muitas instituições têm-no feito através da exigência de mais garantias, aumento do spread, bem como a diminuição de maturidades. Todas estas situações geram um ciclo vicioso, na medida em que as empresas que se vêem confrontadas na restrição do acesso ao crédito, não têm condições para sobreviver, gerando assim várias falências.

Estratégias de comercialização de energia elétrica em mercados liberalizados

Dissertação para obtenção do grau de Mestre em Engenharia Electrotécnica Ramo de Energia

Optimal offering strategies for wind power producers considering uncertainty and risk

This paper provides a two-stage stochastic programming approach for the development of optimal offering strategies for wind power producers. Uncertainty is related to electricity market prices and wind power production. A hybrid intelligent approach, combining wavelet transform, particle swarm optimization and adaptive-network-based fuzzy inference system, is used in this paper to generate plausible scenarios. Also, risk aversion is explicitly modeled using the conditional value-at-risk methodology. Results from a realistic case study, based on a wind farm in Portugal, are provided and analyzed. Finally, conclusions are duly drawn.

The risk-return trade-off in Europe: A temporal and cross-sectional analysis

This paper analyzes the risk-return trade-off in European equities considering both temporal and cross-sectional dimensions. In our analysis, we introduce not only the market portfolio but also 15 industry portfolios comprising the entire market. Several bivariate GARCH models are estimated to obtain the covariance matrix between excess market returns and the industrial portfolios and the existence of a risk-return trade-off is analyzed through a cross-sectional approach using the information in all portfolios. It is obtained evidence for a positive and significant risk-return trade-off in the European market. This conclusion is robust for different GARCH specifications and is even more evident after controlling for the main financial crisis during the sample period.

A risk-averse optimization model for trading wind energy in a market environment under uncertainty

In this paper, a stochastic programming approach is proposed for trading wind energy in a market environment under uncertainty. Uncertainty in the energy market prices is the main cause of high volatility of profits achieved by power producers. The volatile and intermittent nature of wind energy represents another source of uncertainty. Hence, each uncertain parameter is modeled by scenarios, where each scenario represents a plausible realization of the uncertain parameters with an associated occurrence probability. Also, an appropriate risk measurement is considered. The proposed approach is applied on a realistic case study, based on a wind farm in Portugal. Finally, conclusions are duly drawn. (C) 2011 Elsevier Ltd. All rights reserved.

Risk Analysis and Behavior of Electricity Portfolio Aggregator

The scope of this paper is to adapt the standard mean-variance model of Henry Markowitz theory, creating a simulation tool to find the optimal configuration of the portfolio aggregator, calculate its profitability and risk. Currently, there is a deep discussion going on among the power system society about the structure and architecture of the future electric system. In this environment, policy makers and electric utilities find new approaches to access the electricity market; this configures new challenging positions in order to find innovative strategies and methodologies. Decentralized power generation is gaining relevance in liberalized markets, and small and medium size electricity consumers are also become producers (“prosumers”). In this scenario an electric aggregator is an entity that joins a group of electric clients, customers, producers, “prosumers” together as a single purchasing unit to negotiate the purchase and sale of electricity. The aggregator conducts research on electricity prices, contract terms and conditions in order to promote better energy prices for their clients and allows small and medium customers to benefit improved market prices.

Application of a control banding tool for risk level assessment and control of nanoparticles exposure in welding operations

Scope of study: welding operations result in harmful emissions of nanoparticles; the aim of emissions monitorisation is to evaluate exposure levels and to derive protection measures in order to protect exposed workers; however, the traditional approach of comparing measured concentrations with exposure limits cannot be used; but risk levels can be quantified by using Control Banding Strategies.