Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
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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Pricing of Embedded Inflation Options
Editore:
LAP LAMBERT Academic Publishing Mai 2017, 2017
ISBN 10: 3330084235
ISBN 13: 9783330084230
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Taschenbuch. Condizione: 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. Codice articolo 9783330084230
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Pricing of Embedded Inflation Options: Using stochastic scenarios
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ISBN 13: 9783330084230
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Pricing of Embedded Inflation Options: Using stochastic scenarios
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ISBN 10: 3330084235
ISBN 13: 9783330084230
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Pricing of Embedded Inflation Options: Using stochastic scenarios
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ISBN 10: 3330084235
ISBN 13: 9783330084230
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Pricing of Embedded Inflation Options: Using stochastic scenarios
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ISBN 13: 9783330084230
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Pricing of Embedded Inflation Options
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ISBN 13: 9783330084230
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Condizione: 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. Codice articolo 151237159
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Pricing of Embedded Inflation Options
Editore:
LAP LAMBERT Academic Publishing Mai 2017, 2017
ISBN 10: 3330084235
ISBN 13: 9783330084230
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783330084230
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Pricing of Embedded Inflation Options : Using stochastic scenarios
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330084235
ISBN 13: 9783330084230
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: 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. Codice articolo 9783330084230
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Pricing of Embedded Inflation Options | Using stochastic scenarios
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LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330084235
ISBN 13: 9783330084230
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Taschenbuch. Condizione: 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. Codice articolo 109127357
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