The objective of this thesis is a precise mathematical description of energy-related commodity futures markets with respect to risk management and derivative pricing. First, we provide a rigorous multivariate statistical analysis of important commodity futures prices including electricity, oil, coal, gas and CO2 emission allowances based on generalized hyperbolic distributions. We show how a straightforward calculation of expected shortfalls based on such distributions is possible and that the view on risks of energy portfolios is more realistic compared to Normal distributions. We are also able to show that the introduction of CO2 certificates can be used for risk reduction. Further, we build stochastic term-structure models for the electricity futures market based on a no-arbitrage theory stemming from delivery periods in the futures contracts. We discuss the performance of the model in the German electricity market based on Brownian motions and more general Lévy process. Moreover, we introduce pricing algorithms for options on electricity futures based on the above mentioned distributions and asses their performance.
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Reik H. Börger studied Mathematics and Business and holds an MSc from Syracuse University (NY) as well as a Phd from Ulm University. He gained experience in the modelling of commodity markets during his time at EnBW Trading GmbH. The author's research won several awards from academia and industry.
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Boerger Reik H.Reik H. Boerger studied Mathematics and Business and holds an MSc from Syracuse University (NY) as well as a Phd from Ulm University. He gained experience in the modelling of commodity markets during his time at EnBW Tra. Seller Inventory # 5389257
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The objective of this thesis is a precise mathematical description of energy-related commodity futures markets with respect to risk management and derivative pricing. First, we provide a rigorous multivariate statistical analysis of important commodity futures prices including electricity, oil, coal, gas and CO2 emission allowances based on generalized hyperbolic distributions. We show how a straightforward calculation of expected shortfalls based on such distributions is possible and that the view on risks of energy portfolios is more realistic compared to Normal distributions. We are also able to show that the introduction of CO2 certificates can be used for risk reduction. Further, we build stochastic term-structure models for the electricity futures market based on a no-arbitrage theory stemming from delivery periods in the futures contracts. We discuss the performance of the model in the German electricity market based on Brownian motions and more general Lévy process. Moreover, we introduce pricing algorithms for options on electricity futures based on the above mentioned distributions and asses their performance. 184 pp. Englisch. Seller Inventory # 9783836489683
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The objective of this thesis is a precise mathematical description of energy-related commodity futures markets with respect to risk management and derivative pricing. First, we provide a rigorous multivariate statistical analysis of important commodity futures prices including electricity, oil, coal, gas and CO2 emission allowances based on generalized hyperbolic distributions. We show how a straightforward calculation of expected shortfalls based on such distributions is possible and that the view on risks of energy portfolios is more realistic compared to Normal distributions. We are also able to show that the introduction of CO2 certificates can be used for risk reduction. Further, we build stochastic term-structure models for the electricity futures market based on a no-arbitrage theory stemming from delivery periods in the futures contracts. We discuss the performance of the model in the German electricity market based on Brownian motions and more general Lévy process. Moreover, we introduce pricing algorithms for options on electricity futures based on the above mentioned distributions and asses their performance. Seller Inventory # 9783836489683
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Taschenbuch. Condition: Neu. Neuware -The objective of this thesis is a precise mathematical description of energy-related commodity futures markets with respect to risk management and derivative pricing. First, we provide a rigorous multivariate statistical analysis of important commodity futures prices including electricity, oil, coal, gas and CO2 emission allowances based on generalized hyperbolic distributions. We show how a straightforward calculation of expected shortfalls based on such distributions is possible and that the view on risks of energy portfolios is more realistic compared to Normal distributions. We are also able to show that the introduction of CO2 certificates can be used for risk reduction. Further, we build stochastic term-structure models for the electricity futures market based on a no-arbitrage theory stemming from delivery periods in the futures contracts. We discuss the performance of the model in the German electricity market based on Brownian motions and more general Lévy process. Moreover, we introduce pricing algorithms for options on electricity futures based on the above mentioned distributions and asses their performance.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. Seller Inventory # 9783836489683
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