This work uses stochastic scenarios to value embedded inflation options in insurance products. These scenarios are generated using the Jarrow Yildirim model. Three processes are modelled: nominal interest rates, real interest rates and an inflation index. The Hull-White model is used in this setting to model the nominal interest rate. Analytical formulas can be derived to price inflation-indexed derivatives. We will examine how these formulas can be used to calibrate the model to match market prices in order to obtain model parameters. We show that the calibration depends heavily on which instruments are used in the calibration. Using these model parameters, stochastic scenarios can be constructed. We demonstrate how embedded inflation options containing a path dependency can be valued using scenarios, and further provide prices of embedded inflation options of a fictional pension contract.
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This work uses stochastic scenarios to value embedded inflation options in insurance products. These scenarios are generated using the Jarrow Yildirim model. Three processes are modelled: nominal interest rates, real interest rates and an inflation index. The Hull-White model is used in this setting to model the nominal interest rate. Analytical formulas can be derived to price inflation-indexed derivatives. We will examine how these formulas can be used to calibrate the model to match market prices in order to obtain model parameters. We show that the calibration depends heavily on which instruments are used in the calibration. Using these model parameters, stochastic scenarios can be constructed. We demonstrate how embedded inflation options containing a path dependency can be valued using scenarios, and further provide prices of embedded inflation options of a fictional pension contract.
Erwin van de Kreeke resides in the capital of the Netherlands, Amsterdam. He has a double master's degree in Finance (Vrije Universiteit) and Actuarial Science and Quantitative (Universiteit van Amsterdam). In addition, he is also a qualified actuary. He currently works in the Insurance industry mainly involved in capital modelling and reporting.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This work uses stochastic scenarios to value embedded inflation options in insurance products. These scenarios are generated using the Jarrow Yildirim model. Three processes are modelled: nominal interest rates, real interest rates and an inflation index. The Hull-White model is used in this setting to model the nominal interest rate. Analytical formulas can be derived to price inflation-indexed derivatives. We will examine how these formulas can be used to calibrate the model to match market prices in order to obtain model parameters. We show that the calibration depends heavily on which instruments are used in the calibration. Using these model parameters, stochastic scenarios can be constructed. We demonstrate how embedded inflation options containing a path dependency can be valued using scenarios, and further provide prices of embedded inflation options of a fictional pension contract. 72 pp. Englisch. Nº de ref. del artículo: 9783330084230
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: van de Kreeke ErwinErwin van de Kreeke resides in the capital of the Netherlands, Amsterdam. He has a double master s degree in Finance (Vrije Universiteit) and Actuarial Science and Quantitative (Universiteit van Amsterdam). In addi. Nº de ref. del artículo: 151237159
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This work uses stochastic scenarios to value embedded inflation options in insurance products. These scenarios are generated using the Jarrow Yildirim model. Three processes are modelled: nominal interest rates, real interest rates and an inflation index. The Hull-White model is used in this setting to model the nominal interest rate. Analytical formulas can be derived to price inflation-indexed derivatives. We will examine how these formulas can be used to calibrate the model to match market prices in order to obtain model parameters. We show that the calibration depends heavily on which instruments are used in the calibration. Using these model parameters, stochastic scenarios can be constructed. We demonstrate how embedded inflation options containing a path dependency can be valued using scenarios, and further provide prices of embedded inflation options of a fictional pension contract.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Nº de ref. del artículo: 9783330084230
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This work uses stochastic scenarios to value embedded inflation options in insurance products. These scenarios are generated using the Jarrow Yildirim model. Three processes are modelled: nominal interest rates, real interest rates and an inflation index. The Hull-White model is used in this setting to model the nominal interest rate. Analytical formulas can be derived to price inflation-indexed derivatives. We will examine how these formulas can be used to calibrate the model to match market prices in order to obtain model parameters. We show that the calibration depends heavily on which instruments are used in the calibration. Using these model parameters, stochastic scenarios can be constructed. We demonstrate how embedded inflation options containing a path dependency can be valued using scenarios, and further provide prices of embedded inflation options of a fictional pension contract. Nº de ref. del artículo: 9783330084230
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Librería: preigu, Osnabrück, Alemania
Taschenbuch. Condición: Neu. Pricing of Embedded Inflation Options | Using stochastic scenarios | Erwin van de Kreeke | Taschenbuch | 72 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330084230 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 109127357
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