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  2. Black–Scholes model - Wikipedia

    en.wikipedia.org/wiki/BlackScholes_model

    Edward Thorp also claims to have guessed the BlackScholes formula in 1967 but kept it to himself to make money for his investors. [44] Emanuel Derman and Taleb have also criticized dynamic hedging and state that a number of researchers had put forth similar models prior to Black and Scholes. [ 45 ]

  3. Implied volatility - Wikipedia

    en.wikipedia.org/wiki/Implied_volatility

    Implied volatility, a forward-looking and subjective measure, differs from historical volatility because the latter is calculated from known past returns of a security. To understand where implied volatility stands in terms of the underlying, implied volatility rank is used to understand its implied volatility from a one-year high and low IV.

  4. Black–Scholes equation - Wikipedia

    en.wikipedia.org/wiki/BlackScholes_equation

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

  5. The Most Valuable Formula Ever Created - AOL

    www.aol.com/news/2013-05-09-the-most-valuable...

    The Black-Scholes option-pricing model, first published in 1973 in a paper titled "The Pricing of Options and Corporate Liabilities," was delivered in complete form for publication to.

  6. Local volatility - Wikipedia

    en.wikipedia.org/wiki/Local_volatility

    The starting point is the basic Black Scholes formula, coming from the risk neutral dynamics = +, with constant deterministic volatility and with lognormal probability density function denoted by ,. In the Black Scholes model the price of a European non-path-dependent option is obtained by integration of the option payoff against this lognormal ...

  7. 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 BlackScholes PDE. Once in this form, a finite difference model can be derived, and the valuation obtained. [2]

  8. Valuation of options - Wikipedia

    en.wikipedia.org/wiki/Valuation_of_options

    The volatility is the degree of its price fluctuations. A share which fluctuates 5% on either side on daily basis has more volatility than stable blue chip shares whose fluctuation is more benign at 2–3%. Volatility affects calls and puts alike. Higher volatility increases the option premium because of the greater risk it brings to the seller.

  9. Black model - Wikipedia

    en.wikipedia.org/wiki/Black_model

    The Black formula is similar to the BlackScholes formula for valuing stock options except that the spot price of the underlying is replaced by a discounted futures price F. Suppose there is constant risk-free interest rate r and the futures price F(t) of a particular underlying is log-normal with constant volatility σ.