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  2. Black–Scholes model - Wikipedia

    en.wikipedia.org/wiki/BlackScholes_model

    The Black–Scholes model assumes positive underlying prices; if the underlying has a negative price, the model does not work directly. [ 51 ] [ 52 ] When dealing with options whose underlying can go negative, practitioners may use a different model such as the Bachelier model [ 52 ] [ 53 ] or simply add a constant offset to the prices.

  3. 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 Black–Scholes PDE. Once in this form, a ...

  4. Black model - Wikipedia

    en.wikipedia.org/wiki/Black_model

    The Black model (sometimes known as the Black-76 model) is a variant of the Black–Scholes option pricing model. Its primary applications are for pricing options on future contracts, bond options, interest rate cap and floors, and swaptions. It was first presented in a paper written by Fischer Black in 1976.

  5. Black–Scholes equation - Wikipedia

    en.wikipedia.org/wiki/BlackScholes_equation

    In mathematical finance, the Black–Scholes equation, also called the Black–Scholes–Merton equation, is a partial differential equation (PDE) governing the price evolution of derivatives under the Black–Scholes model. [1]

  6. Geometric Brownian motion - Wikipedia

    en.wikipedia.org/wiki/Geometric_Brownian_motion

    Geometric Brownian motion is used to model stock prices in the Black–Scholes model and is the most widely used model of stock price behavior. [4] Some of the arguments for using GBM to model stock prices are: The expected returns of GBM are independent of the value of the process (stock price), which agrees with what we would expect in ...

  7. 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 Black–Scholes formula (hereinafter, "BS Formula") provides an explicit equation for the value of a call option on a non-dividend paying stock. In ...

  8. Stochastic volatility - Wikipedia

    en.wikipedia.org/wiki/Stochastic_volatility

    This basic model with constant volatility is the starting point for non-stochastic volatility models such as Black–Scholes model and Cox–Ross–Rubinstein model. For a stochastic volatility model, replace the constant volatility σ {\displaystyle \sigma } with a function ν t {\displaystyle \nu _{t}} that models the variance of S t ...

  9. Volatility smile - Wikipedia

    en.wikipedia.org/wiki/Volatility_smile

    In the Black–Scholes model, the theoretical value of a vanilla option is a monotonic increasing function of the volatility of the underlying asset. This means it is usually possible to compute a unique implied volatility from a given market price for an option. This implied volatility is best regarded as a rescaling of option prices which ...