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  2. Black–Scholes model - Wikipedia

    en.wikipedia.org/wiki/BlackScholes_model

    The normality assumption of the Black–Scholes model does not capture extreme movements such as stock market crashes. The assumptions of the Black–Scholes model are not all empirically valid. The model is widely employed as a useful approximation to reality, but proper application requires understanding its limitations – blindly following ...

  3. 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]

  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. Fundamental theorem of asset pricing - Wikipedia

    en.wikipedia.org/wiki/Fundamental_theorem_of...

    Though arbitrage opportunities do exist briefly in real life, it has been said that any sensible market model must avoid this type of profit. [2]: 5 The first theorem is important in that it ensures a fundamental property of market models. Completeness is a common property of market models (for instance the Black–Scholes model).

  6. 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. [2]

  7. Local volatility - Wikipedia

    en.wikipedia.org/wiki/Local_volatility

    In mathematical finance, the asset S t that underlies a financial derivative is typically assumed to follow a stochastic differential equation of the form = +, under the risk neutral measure, where is the instantaneous risk free rate, giving an average local direction to the dynamics, and is a Wiener process, representing the inflow of randomness into the dynamics.

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  9. Moneyness - Wikipedia

    en.wikipedia.org/wiki/Moneyness

    Simpler measures of moneyness can be computed immediately from observable market data without any theoretical assumptions, while more complex measures use the implied volatility, and thus the Black–Scholes model. The simplest (put) moneyness is fixed-strike moneyness, [5] where M=K, and the simplest call moneyness is fixed-spot moneyness ...