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  2. Monte Carlo methods for option pricing - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_methods_for...

    In mathematical finance, a Monte Carlo option model uses Monte Carlo methods [Notes 1] to calculate the value of an option with multiple sources of uncertainty or with complicated features. [1] The first application to option pricing was by Phelim Boyle in 1977 (for European options ).

  3. Asset pricing - Wikipedia

    en.wikipedia.org/wiki/Asset_pricing

    Calculating option prices, and their "Greeks", i.e. sensitivities, combines: (i) a model of the underlying price behavior, or "process" - i.e. the asset pricing model selected, with its parameters having been calibrated to observed prices; and (ii) a mathematical method which returns the premium (or sensitivity) as the expected value of option ...

  4. Valuation of options - Wikipedia

    en.wikipedia.org/wiki/Valuation_of_options

    There are many pricing models in use, although all essentially incorporate the concepts of rational pricing (i.e. risk neutrality), moneyness, option time value and put–call parity. The valuation itself combines (1) a model of the behavior ( "process" ) of the underlying price with (2) a mathematical method which returns the premium as a ...

  5. Lattice model (finance) - Wikipedia

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

    The simplest lattice model is the binomial options pricing model; [7] the standard ("canonical" [8]) method is that proposed by Cox, Ross and Rubinstein (CRR) in 1979; see diagram for formulae. Over 20 other methods have been developed, [9] with each "derived under a variety of assumptions" as regards the development of the underlying's price. [4]

  6. Martingale pricing - Wikipedia

    en.wikipedia.org/wiki/Martingale_pricing

    Martingale pricing is a pricing approach based on the notions of martingale and risk neutrality. The martingale pricing approach is a cornerstone of modern quantitative finance and can be applied to a variety of derivatives contracts, e.g. options , futures , interest rate derivatives , credit derivatives , etc.

  7. Monte Carlo methods in finance - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_methods_in_finance

    Remember that an estimator for the price of a derivative is a random variable, and in the framework of a risk-management activity, uncertainty on the price of a portfolio of derivatives and/or on its risks can lead to suboptimal risk-management decisions. This state of affairs can be mitigated by variance reduction techniques.

  8. Mathematical finance - Wikipedia

    en.wikipedia.org/wiki/Mathematical_finance

    There are two separate branches of finance that require advanced quantitative techniques: derivatives pricing, and risk and portfolio management. One of the main differences is that they use different probabilities such as the risk-neutral probability (or arbitrage-pricing probability), denoted by "Q", and the actual (or actuarial) probability ...

  9. Vanna–Volga pricing - Wikipedia

    en.wikipedia.org/wiki/Vanna–Volga_pricing

    The terms and are put in by-hand and represent factors that ensure the correct behaviour of the price of an exotic option near a barrier: as the knock-out barrier level of an option is gradually moved toward the spot level , the BSTV price of a knock-out option must be a monotonically decreasing function, converging to zero exactly at =. Since ...