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Fitting the implied volatility surface
Fitting the implied volatility surface
Knygos.lt klubas Knygos.lt nariams
53,82 €
-30%
Įprastai
76,89 €
  • Išsiųsime per 12–18 d.d.
In the context of exotic derivatives, arbitrage-free implied volatility surfaces are a crucial ingredient to sophisticated pricing routines. We use a non-linear optimization technique to fit an arbitrage-free implied volatility surface efficiently to market data. The fitting procedure is tailor-made for any analytic parametrization of the single volatility skews. We carry out this approach for a certain parametrization by implementing an Interior-Point method, discuss its shortcomings, potentia…
  • Leidėjas:
  • Metai: 2014
  • Puslapiai: 136
  • ISBN-10: 3639720504
  • ISBN-13: 9783639720501
  • Formatas: 15.2 x 22.9 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

Fitting the implied volatility surface (el. knyga) (skaityta knyga) | knygos.lt

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In the context of exotic derivatives, arbitrage-free implied volatility surfaces are a crucial ingredient to sophisticated pricing routines. We use a non-linear optimization technique to fit an arbitrage-free implied volatility surface efficiently to market data. The fitting procedure is tailor-made for any analytic parametrization of the single volatility skews. We carry out this approach for a certain parametrization by implementing an Interior-Point method, discuss its shortcomings, potentials, as well as specific smoothing techniques. Besides all the theory, we give various fitting details and examples by using real market data.

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  • Autorius: Immanuel Dobler
  • Leidėjas:
  • Metai: 2014
  • Puslapiai: 136
  • ISBN-10: 3639720504
  • ISBN-13: 9783639720501
  • Formatas: 15.2 x 22.9 x 0.8 cm, minkšti viršeliai
  • Kalba: Anglų

In the context of exotic derivatives, arbitrage-free implied volatility surfaces are a crucial ingredient to sophisticated pricing routines. We use a non-linear optimization technique to fit an arbitrage-free implied volatility surface efficiently to market data. The fitting procedure is tailor-made for any analytic parametrization of the single volatility skews. We carry out this approach for a certain parametrization by implementing an Interior-Point method, discuss its shortcomings, potentials, as well as specific smoothing techniques. Besides all the theory, we give various fitting details and examples by using real market data.

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