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  2. Binomial options pricing model - Wikipedia

    en.wikipedia.org/wiki/Binomial_options_pricing_model

    The binomial pricing model traces the evolution of the option's key underlying variables in discrete-time. This is done by means of a binomial lattice (Tree), for a number of time steps between the valuation and expiration dates. Each node in the lattice represents a possible price of the underlying at a given point in time.

  3. Lattice model (finance) - Wikipedia

    en.wikipedia.org/wiki/Lattice_model_(finance)

    Delta and gamma, being sensitivities of option value w.r.t. price, are approximated given differences between option prices - with their related spot - in the same time step. Theta, sensitivity to time, is likewise estimated given the option price at the first node in the tree and the option price for the same spot in a later time step. (Second ...

  4. Finite difference methods for option pricing - Wikipedia

    en.wikipedia.org/wiki/Finite_difference_methods...

    The approach arises since the evolution of the option value can be modelled via a partial differential equation (PDE), as a function of (at least) time and price of underlying; see for example the Black–Scholes PDE. Once in this form, a finite difference model can be derived, and the valuation obtained.

  5. Outline of finance - Wikipedia

    en.wikipedia.org/wiki/Outline_of_finance

    Futures contract pricing; Options (incl. Real options and ESOs) Valuation of options; Black–Scholes formula. Approximations for American options Barone-Adesi and Whaley; Bjerksund and Stensland; Black's approximation; Optimal stopping; Roll–Geske–Whaley; Black model; Binomial options model; Finite difference methods for option pricing ...

  6. Valuation of options - Wikipedia

    en.wikipedia.org/wiki/Valuation_of_options

    In finance, a price (premium) is paid or received for purchasing or selling options.This article discusses the calculation of this premium in general. For further detail, see: Mathematical finance § Derivatives pricing: the Q world for discussion of the mathematics; Financial engineering for the implementation; as well as Financial modeling § Quantitative finance generally.

  7. Local volatility - Wikipedia

    en.wikipedia.org/wiki/Local_volatility

    Derman and Kani described and implemented a local volatility function to model instantaneous volatility. They used this function at each node in a binomial options pricing model. The tree successfully produced option valuations consistent with all market prices across strikes and expirations. [2]

  8. Talk:Binomial options pricing model - Wikipedia

    en.wikipedia.org/wiki/Talk:Binomial_options...

    Third step has Suu, S(0) and Sdd, etc. Now, start filling in the option tree from back to front. The last step is also easy, just calculate expiration value of the option for each stock price from the stock tree. Next, go back one time step in the option tree using the binomial formula. However, use the values from the option tree, i.e.

  9. Employee stock option - Wikipedia

    en.wikipedia.org/wiki/Employee_stock_option

    Brian K. Boonstra: Model For Pricing ESOs (Excel spreadsheet and VBA code) Joseph A. D’Urso: Valuing Employee Stock Options (Excel spreadsheet) Thomas Ho: Employee Stock Option Model Archived 2016-03-04 at the Wayback Machine (Excel spreadsheet) John Hull: software based on the article: How to Value Employee Stock Options (Excel spreadsheet)