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  2. Black–Scholes equation - Wikipedia

    en.wikipedia.org/wiki/BlackScholes_equation

    Black and Scholes' insight was that the portfolio represented by the right-hand side is riskless: thus the equation says that the riskless return over any infinitesimal time interval can be expressed as the sum of theta and a term incorporating gamma.

  3. Monte Carlo methods for option pricing - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_methods_for...

    For example, for bond options [3] the underlying is a bond, but the source of uncertainty is the annualized interest rate (i.e. the short rate). Here, for each randomly generated yield curve we observe a different resultant bond price on the option's exercise date; this bond price is then the input for the determination of the option's payoff.

  4. Black–Scholes model - Wikipedia

    en.wikipedia.org/wiki/BlackScholes_model

    In fact, the BlackScholes formula for the price of a vanilla call option (or put option) can be interpreted by decomposing a call option into an asset-or-nothing call option minus a cash-or-nothing call option, and similarly for a put—the binary options are easier to analyze, and correspond to the two terms in the BlackScholes formula.

  5. Real options valuation - Wikipedia

    en.wikipedia.org/wiki/Real_options_valuation

    Real options valuation, also often termed real options analysis, [1] (ROV or ROA) applies option valuation techniques to capital budgeting decisions. [2] A real option itself, is the right—but not the obligation—to undertake certain business initiatives, such as deferring, abandoning, expanding, staging, or contracting a capital investment project. [3]

  6. Datar–Mathews method for real option valuation - Wikipedia

    en.wikipedia.org/wiki/Datar–Mathews_method_for...

    Fig 5. Left: Comparison of Black Scholes and Datar-Mathews frameworks. Right: Detail of tail of distribution at T 0. The terms N(d 1) and N(d 2) are applied in the calculation of the BlackScholes formula, and are expressions related to operations on lognormal distributions; [21] see section "Interpretation" under BlackScholes. Referring ...

  7. Finite difference methods for option pricing - Wikipedia

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

    The discrete difference equations may then be solved iteratively to calculate a price for the option. [4] 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 BlackScholes PDE. Once in this form, a ...

  8. Binomial options pricing model - Wikipedia

    en.wikipedia.org/wiki/Binomial_options_pricing_model

    Being relatively simple, the model is readily implementable in computer software (including a spreadsheet). Although computationally slower than the BlackScholes formula, it is more accurate, particularly for longer-dated options on securities with dividend payments. For these reasons, various versions of the binomial model are widely used ...

  9. Black's approximation - Wikipedia

    en.wikipedia.org/wiki/Black's_approximation

    In finance, Black's approximation is an approximate method for computing the value of an American call option on a stock paying a single dividend. It was described by Fischer Black in 1975. [1] The BlackScholes formula (hereinafter, "BS Formula") provides an explicit equation for the value of a call option on a non-dividend paying stock. In ...