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  2. Monte Carlo methods for option pricing - Wikipedia

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

    More generally though, simulation is employed for path dependent exotic derivatives, such as Asian options. In other cases, the source of uncertainty may be at a remove. For example, for bond options [3] the underlying is a bond, but the source of uncertainty is the annualized interest rate (i.e. the short rate).

  3. Monte Carlo methods in finance - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_methods_in_finance

    The fundamental theorem of arbitrage-free pricing states that the value of a derivative is equal to the discounted expected value of the derivative payoff where the expectation is taken under the risk-neutral measure [1]. An expectation is, in the language of pure mathematics, simply an integral with respect to the measure.

  4. 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 Black–Scholes PDE. Once in this form, a finite difference model can be derived, and the valuation obtained. [2]

  5. Quantitative analysis (finance) - Wikipedia

    en.wikipedia.org/wiki/Quantitative_analysis...

    In sales and trading, quantitative analysts work to determine prices, manage risk, and identify profitable opportunities.Historically this was a distinct activity from trading but the boundary between a desk quantitative analyst and a quantitative trader is increasingly blurred, and it is now difficult to enter trading as a profession without at least some quantitative analysis education.

  6. Risk-neutral measure - Wikipedia

    en.wikipedia.org/wiki/Risk-neutral_measure

    Risk-neutral measures make it easy to express the value of a derivative in a formula. Suppose at a future time T {\displaystyle T} a derivative (e.g., a call option on a stock ) pays H T {\displaystyle H_{T}} units, where H T {\displaystyle H_{T}} is a random variable on the probability space describing the market.

  7. Mathematical finance - Wikipedia

    en.wikipedia.org/wiki/Mathematical_finance

    The goal of derivatives pricing is to determine the fair price of a given security in terms of more liquid securities whose price is determined by the law of supply and demand. The meaning of "fair" depends, of course, on whether one considers buying or selling the security.

  8. Black–Scholes model - Wikipedia

    en.wikipedia.org/wiki/Black–Scholes_model

    From the parabolic partial differential equation in the model, known as the Black–Scholes equation, one can deduce the Black–Scholes formula, which gives a theoretical estimate of the price of European-style options and shows that the option has a unique price given the risk of the security and its expected return (instead replacing the ...

  9. Lattice model (finance) - Wikipedia

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

    Here, payoffs are set as a function of the Reference rate or forecast rate specific to the tenor in question, while discounting is at the OIS rate. To accommodate this in the lattice framework, the OIS rate and the relevant reference rate are jointly modeled in a three-dimensional tree, constructed so as to return the input OIS- and Libor-swap ...