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  2. 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.

  3. List of highest-grossing films in the United States and ...

    en.wikipedia.org/wiki/List_of_highest-grossing...

    This is a list of the highest-grossing films in the U.S. and Canada, [3] a market known in the film industry as the North American box office, or as the domestic box office within the U.S. itself. [1] [2] The chart is ranked by lifetime gross, and for comparison, the figures adjusted for the effects of inflation are also listed, using the U.S ...

  4. Cost estimate - Wikipedia

    en.wikipedia.org/wiki/Cost_estimate

    A cost estimate is the approximation of the cost of a program, project, or operation. The cost estimate is the product of the cost estimating process. The cost estimate has a single total value and may have identifiable component values. A problem with a cost overrun can be avoided with a credible, reliable, and accurate cost estimate.

  5. Construction estimating software - Wikipedia

    en.wikipedia.org/wiki/Construction_estimating...

    Construction cost estimating software is computer software designed for contractors to estimate construction costs for a specific project. A cost estimator will typically use estimating software to estimate their bid price for a project, which will ultimately become part of a resulting construction contract.

  6. Black–Scholes model - Wikipedia

    en.wikipedia.org/wiki/Black–Scholes_model

    The Black–Scholes / ˌblæk ˈʃoʊlz / [1] or Black–Scholes–Merton model is a mathematical model for the dynamics of a financial market containing derivative investment instruments. From the parabolic partial differential equation in the model, known as the Black–Scholes equation, one can deduce the Black–Scholes formula, which gives ...

  7. Cost estimation models - Wikipedia

    en.wikipedia.org/wiki/Cost_estimation_models

    Cost estimation models. Cost estimation models are mathematical algorithms or parametric equations used to estimate the costs of a product or project. The results of the models are typically necessary to obtain approval to proceed, and are factored into business plans, budgets, and other financial planning and tracking mechanisms.

  8. Search and matching theory (economics) - Wikipedia

    en.wikipedia.org/wiki/Search_and_matching_theory...

    Estimates of the labor market matching function suggest that it has constant returns to scale, that is, +. [3] If the fraction of jobs that separate (due to firing, quits, and so forth) from one period to the next is δ {\displaystyle \,\delta \,} , then to calculate the change in employment from one period to the next we must add the formation ...

  9. Cost estimation in software engineering - Wikipedia

    en.wikipedia.org/wiki/Cost_estimation_in...

    Cost estimation in software engineering is typically concerned with the financial spend on the effort to develop and test the software, this can also include requirements review, maintenance, training, managing and buying extra equipment, servers and software. Many methods have been developed for estimating software costs for a given project.

  10. Black–Litterman model - Wikipedia

    en.wikipedia.org/wiki/Black–Litterman_model

    Black–Litterman model. In finance, the Black–Litterman model is a mathematical model for portfolio allocation developed in 1990 at Goldman Sachs by Fischer Black and Robert Litterman, and published in 1992. It seeks to overcome problems that institutional investors have encountered in applying modern portfolio theory in practice.

  11. Implied volatility - Wikipedia

    en.wikipedia.org/wiki/Implied_volatility

    Using a standard BlackScholes pricing model, the volatility implied by the market price is 18.7%, or: To verify, we apply implied volatility to the pricing model, f , and generate a theoretical value of $2.0004: which confirms our computation of the market implied volatility.