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  2. Option time value - Wikipedia

    en.wikipedia.org/wiki/Option_time_value

    For an out-of-the-money option, the further in the future the expiration date—i.e. the longer the time to exercise—the higher the chance of this occurring, and thus the higher the option price; for an in-the-money option the chance of being in the money decreases; however the fact that the option cannot have negative value also works in the ...

  3. Vanna–Volga pricing - Wikipedia

    en.wikipedia.org/wiki/Vanna–Volga_pricing

    The weighting factors and represent respectively the amount of RR needed to replicate the option's Vanna, and the amount of BF needed to replicate the option's Volga. The above approach ignores the small (but non-zero) fraction of Volga carried by the RR and the small fraction of Vanna carried by the BF.

  4. Black–Scholes model - Wikipedia

    en.wikipedia.org/wiki/Black–Scholes_model

    In fact, the Black–Scholes 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 Black–Scholes formula.

  5. Butterfly (options) - Wikipedia

    en.wikipedia.org/wiki/Butterfly_(options)

    A long butterfly options strategy consists of the following options: Long 1 call with a strike price of (X − a) Short 2 calls with a strike price of X; Long 1 call with a strike price of (X + a) where X = the spot price (i.e. current market price of underlying) and a > 0. Using put–call parity a long butterfly can also be created as follows:

  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.

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