The performance of many firms are exposed to the changes in weather. The industry sectors exposed to ?weather risk' are basic materials, consumer durables and agricultural industries. Amongst these the basic materials has mainly triggered the demand for the weather derivatives market and the rapid growth in the weather risk assessment industry. With this as the backdrop, this book formulates a pricing model for the weather derivatives, whose payoffs depend on surface air temperature. Daily temperature data for the last thirty years is closely analyzed for four cities in U.K. to model a temperature process which captures the daily temperature fluctuations including the seasonal patterns and the year-on- year up-ward trend behaviour of the temperature.This work further evaluates an arbitrage-free option pricing using a Gaussian Ornstein-Uhlenbeck model. Keeping in mind that temperature, the underlying variable of the weather derivative, is non-tradable we consider a risk premium estimator to find the price of a weather derivatives contract. Further, the book provides results based on these models as well as based on Monte Carlo Simulations.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
The performance of many firms are exposed to the changes in weather. The industry sectors exposed to ?weather risk' are basic materials, consumer durables and agricultural industries. Amongst these the basic materials has mainly triggered the demand for the weather derivatives market and the rapid growth in the weather risk assessment industry. With this as the backdrop, this book formulates a pricing model for the weather derivatives, whose payoffs depend on surface air temperature. Daily temperature data for the last thirty years is closely analyzed for four cities in U.K. to model a temperature process which captures the daily temperature fluctuations including the seasonal patterns and the year-on- year up-ward trend behaviour of the temperature.This work further evaluates an arbitrage-free option pricing using a Gaussian Ornstein-Uhlenbeck model. Keeping in mind that temperature, the underlying variable of the weather derivative, is non-tradable we consider a risk premium estimator to find the price of a weather derivatives contract. Further, the book provides results based on these models as well as based on Monte Carlo Simulations.
Prof.A.Mandal holds a M.Sc. degree from the Durham University, UK. He is an engineer and a MBA in finance from India. He has done extensive work in research and analysis through professional experience and academic publications. He has published 12 international articles and has 33 conference proceedings in the field of quantitative finance.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The performance of many firms are exposed to the changes in weather. The industry sectors exposed to weather risk' are basic materials, consumer durables and agricultural industries. Amongst these the basic materials has mainly triggered the demand for the weather derivatives market and the rapid growth in the weather risk assessment industry. With this as the backdrop, this book formulates a pricing model for the weather derivatives, whose payoffs depend on surface air temperature. Daily temperature data for the last thirty years is closely analyzed for four cities in U.K. to model a temperature process which captures the daily temperature fluctuations including the seasonal patterns and the year-on- year up-ward trend behaviour of the temperature.This work further evaluates an arbitrage-free option pricing using a Gaussian Ornstein-Uhlenbeck model. Keeping in mind that temperature, the underlying variable of the weather derivative, is non-tradable we consider a risk premium estimator to find the price of a weather derivatives contract. Further, the book provides results based on these models as well as based on Monte Carlo Simulations. 76 pp. Englisch. N° de réf. du vendeur 9783843383417
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mandal AnandadeepProf.A.Mandal holds a M.Sc. degree from the Durham University, UK. He is an engineer and a MBA in finance from India. He has done extensive work in research and analysis through professional experience and academ. N° de réf. du vendeur 5468189
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Taschenbuch. Etat : Neu. Neuware -The performance of many firms are exposed to the changes in weather. The industry sectors exposed to ¿weather risk'' are basic materials, consumer durables and agricultural industries. Amongst these the basic materials has mainly triggered the demand for the weather derivatives market and the rapid growth in the weather risk assessment industry. With this as the backdrop, this book formulates a pricing model for the weather derivatives, whose payoffs depend on surface air temperature. Daily temperature data for the last thirty years is closely analyzed for four cities in U.K. to model a temperature process which captures the daily temperature fluctuations including the seasonal patterns and the year-on- year up-ward trend behaviour of the temperature.This work further evaluates an arbitrage-free option pricing using a Gaussian Ornstein-Uhlenbeck model. Keeping in mind that temperature, the underlying variable of the weather derivative, is non-tradable we consider a risk premium estimator to find the price of a weather derivatives contract. Further, the book provides results based on these models as well as based on Monte Carlo Simulations.Books on Demand GmbH, Überseering 33, 22297 Hamburg 76 pp. Englisch. N° de réf. du vendeur 9783843383417
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The performance of many firms are exposed to the changes in weather. The industry sectors exposed to weather risk' are basic materials, consumer durables and agricultural industries. Amongst these the basic materials has mainly triggered the demand for the weather derivatives market and the rapid growth in the weather risk assessment industry. With this as the backdrop, this book formulates a pricing model for the weather derivatives, whose payoffs depend on surface air temperature. Daily temperature data for the last thirty years is closely analyzed for four cities in U.K. to model a temperature process which captures the daily temperature fluctuations including the seasonal patterns and the year-on- year up-ward trend behaviour of the temperature.This work further evaluates an arbitrage-free option pricing using a Gaussian Ornstein-Uhlenbeck model. Keeping in mind that temperature, the underlying variable of the weather derivative, is non-tradable we consider a risk premium estimator to find the price of a weather derivatives contract. Further, the book provides results based on these models as well as based on Monte Carlo Simulations. N° de réf. du vendeur 9783843383417
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Taschenbuch. Etat : Neu. Pricing of Weather Derivatives | Basics, Concepts, and Method for Modeling of Surface Air Temperature | Anandadeep Mandal | Taschenbuch | 76 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783843383417 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. N° de réf. du vendeur 107176420
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