Greek milk price decomposition

Author(s):  
Dikaios Tserkezos ◽  
Fotios Symeonidis
Keyword(s):  
Author(s):  
Luís C Ibanez ◽  
Angel G Marín

Taxi planning problem studies aircraft routing and scheduling on the airport ground. Taxi planning has been formulated using a binary multicommodity flow model in a space-time airport network. The flow capacity constraints are used to represent the conflicts among aircraft, given an airport’s capacity. Branch and price methodology has been adapted to take advantage of the integer model structures. The computational tests have been run with real data from Adolfo Suárez Madrid-Barajas airport. The tests were oriented toward comparing the new adapted branch and price with the classic Branch and Bound algorithm, trying to obtain conclusions that are useful for airport managers.


2017 ◽  
Vol 2017 ◽  
pp. 1-16
Author(s):  
Raúl Merino ◽  
Josep Vives

We obtain a Hull and White type option price decomposition for a general local volatility model. We apply the obtained formula to CEV model. As an application we give an approximated closed formula for the call option price under a CEV model and an approximated short term implied volatility surface. These approximated formulas are used to estimate model parameters. Numerical comparison is performed for our new method with exact and approximated formulas existing in the literature.


Author(s):  
Fotios Symeonidis ◽  
Dikaios Tserkezos
Keyword(s):  

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Raúl Merino ◽  
Josep Vives

We obtain a decomposition of the call option price for a very general stochastic volatility diffusion model, extending a previous decomposition formula for the Heston model. We realize that a new term arises when the stock price does not follow an exponential model. The techniques used for this purpose are nonanticipative. In particular, we also see that equivalent results can be obtained by using Functional Itô Calculus. Using the same generalizing ideas, we also extend to nonexponential models the alternative call option price decomposition formula written in terms of the Malliavin derivative of the volatility process. Finally, we give a general expression for the derivative of the implied volatility under both the anticipative and the nonanticipative cases.


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