The study focuses on tariff-linked (or commodity-linked) agreements entered into between a power utility and commodity producers. The main purpose of these types of agreements is to link electricity tariff payable by commodity producers to the price of the commodity produced thereby transferring a certain level of commodity price risk to the power utility. The study looks at risk management practices of a power utility company with a particular reference to tariff-linked agreements. Also, the study critically analyses risk hedging mechanisms put in place by the power utility. The report makes practical recommendations, where applicable, in dealing with these risks. Risk management continuously evolve to meet the challenges of complex financial world. Despite the latest sophisticated risk management tools available commodity producers still encounter difficulties to hedge the price risk. The challenge for the power utility is the application of new risk management tools to effectively manage price risk. / Business Management / M.Com. (Business Economics)

The study focuses on tariff-linked (or commodity-linked) agreements entered into between a power utility and commodity producers. The main purpose of these types of agreements is to link electricity tariff payable by commodity producers to the price of the commodity produced thereby transferring a certain level of commodity price risk to the power utility. The study looks at risk management practices of a power utility company with a particular reference to tariff-linked agreements. Also, the study critically analyses risk hedging mechanisms put in place by the power utility. The report makes practical recommendations, where applicable, in dealing with these risks. Risk management continuously evolve to meet the challenges of complex financial world. Despite the latest sophisticated risk management tools available commodity producers still encounter difficulties to hedge the price risk. The challenge for the power utility is the application of new risk management tools to effectively manage price risk. / Business Management / M.Com. (Business Economics)

Le secteur automobile est de plus en plus dépendant aux matières plastiques dont le niveau et la volatilité des prix ont fortement augmenté au cours des dix dernières années, sous l’effet supposé des variations du prix du pétrole qui est le principal input nécessaire à leur fabrication. La thèse vise à fournir des outils économétriques permettant d’analyser et gérer le risque de variations des prix des principales matières plastiques utilisées dans l’industrie automobile. À l’aide des méthodologies de cointégration, nous montrons que les relations d’équilibre de long terme et les dynamiques de court terme mettent en évidence un mécanisme de transmission des variations des coûts de production sur le prix des plastiques situés en aval du processus productif. L’existence de relations de cointégration significatives entre les prix pétrochimiques et pétroliers justifie l’élaboration de stratégies de couverture contre les variations des coûts de production et l’estimation de modèles à correction d’erreur qui permettent d’affiner les prévisions des prix. / The automotive industry is increasingly dependent on plastic materials whose price level and volatility have risen sharply over the past decade due to the assumed effect of fluctuations in crude oil prices, which is the key feedstock in the production of final products such as plastics. This thesis aims to provide econometric tools to analyze, understand, and manage the risk of price volatility of major plastics materials consumed in the automotive industry. Using the cointegration methodology, we show that long-term equilibrium relationship and short-term dynamics reveal the transmission mechanism of input prices changes from the upstream market to the prices of plastics materials on the downstream market. The significant cointegration relationships between petrochemical and crude oil prices justify the development of hedging strategies against inputs prices fluctuation and the estimation of error correction models that should produce better prices forecast.