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  2. Binary option - Wikipedia

    en.wikipedia.org/wiki/Binary_option

    In the Black–Scholes model, the price of the option can be found by the formulas below. [27] 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 ...

  3. Prediction market - Wikipedia

    en.wikipedia.org/wiki/Prediction_market

    The most common form of a prediction market is a binary option market, which will expire at the price of 0 or 100%. Prediction markets can be thought of as belonging to the more general concept of crowdsourcing which is specially designed to aggregate information on particular topics of interest.

  4. Black–Scholes model - Wikipedia

    en.wikipedia.org/wiki/Black–Scholes_model

    A binary call option is, at long expirations, similar to a tight call spread using two vanilla options. One can model the value of a binary cash-or-nothing option, C , at strike K , as an infinitesimally tight spread, where C v {\displaystyle C_{v}} is a vanilla European call: [ 35 ] [ 36 ]

  5. Binomial options pricing model - Wikipedia

    en.wikipedia.org/wiki/Binomial_options_pricing_model

    In finance, the binomial options pricing model (BOPM) provides a generalizable numerical method for the valuation of options.Essentially, the model uses a "discrete-time" (lattice based) model of the varying price over time of the underlying financial instrument, addressing cases where the closed-form Black–Scholes formula is wanting.

  6. Lattice model (finance) - Wikipedia

    en.wikipedia.org/wiki/Lattice_model_(finance)

    Tree-based bond option valuation: 0. Construct an interest-rate tree, which, as described in the text, will be consistent with the current term structure of interest rates. 1. Construct a corresponding tree of bond-prices, where the underlying bond is valued at each node by "backwards induction":

  7. Binomial regression - Wikipedia

    en.wikipedia.org/wiki/Binomial_regression

    If the response is a binary variable (two possible outcomes), then these alternatives can be coded as 0 or 1 by considering one of the outcomes as "success" and the other as "failure" and considering these as count data: "success" is 1 success out of 1 trial, while "failure" is 0 successes out of 1 trial.

  8. Dying To Be Free - The Huffington Post

    projects.huffingtonpost.com/dying-to-be-free...

    The last image we have of Patrick Cagey is of his first moments as a free man. He has just walked out of a 30-day drug treatment center in Georgetown, Kentucky, dressed in gym clothes and carrying a Nike duffel bag.

  9. Binary regression - Wikipedia

    en.wikipedia.org/wiki/Binary_regression

    Binary regression is usually analyzed as a special case of binomial regression, with a single outcome (=), and one of the two alternatives considered as "success" and coded as 1: the value is the count of successes in 1 trial, either 0 or 1.