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  2. Jamshidian's trick - Wikipedia

    en.wikipedia.org/wiki/Jamshidian's_trick

    Jamshidian's trick is a technique for one-factor asset price models, which re-expresses an option on a portfolio of assets as a portfolio of options. It was developed by Farshid Jamshidian in 1989. The trick relies on the following simple, but very useful mathematical observation.

  3. Girsanov theorem - Wikipedia

    en.wikipedia.org/wiki/Girsanov_theorem

    The theorem is especially important in the theory of financial mathematics as it explains how to convert from the physical measure, which describes the probability that an underlying instrument (such as a share price or interest rate) will take a particular value or values, to the risk-neutral measure which is a very useful tool for evaluating ...

  4. 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.

  5. Convexity (finance) - Wikipedia

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

    In mathematical finance, convexity refers to non-linearities in a financial model.In other words, if the price of an underlying variable changes, the price of an output does not change linearly, but depends on the second derivative (or, loosely speaking, higher-order terms) of the modeling function.

  6. Genius (mathematics software) - Wikipedia

    en.wikipedia.org/wiki/Genius_(mathematics_software)

    Genius (also known as the Genius Math Tool) is a free open-source numerical computing environment and programming language, [2] similar in some aspects to MATLAB, GNU Octave, Mathematica and Maple. Genius is aimed at mathematical experimentation rather than computationally intensive tasks. It is also very useful as just a calculator.

  7. Finite difference methods for option pricing - Wikipedia

    en.wikipedia.org/wiki/Finite_difference_methods...

    [2] [3]: 180 In general, finite difference methods are used to price options by approximating the (continuous-time) differential equation that describes how an option price evolves over time by a set of (discrete-time) difference equations. The discrete difference equations may then be solved iteratively to calculate a price for the option. [4]

  8. Multiplicative cascade - Wikipedia

    en.wikipedia.org/wiki/Multiplicative_cascade

    In mathematics, a multiplicative cascade [1] [2] is a fractal/multifractal distribution of points produced via an iterative and multiplicative random process. Definition [ edit ]

  9. Wolfram Mathematica - Wikipedia

    en.wikipedia.org/wiki/Wolfram_Mathematica

    Wolfram Mathematica is a software system with built-in libraries for several areas of technical computing that allows machine learning, statistics, symbolic computation, data manipulation, network analysis, time series analysis, NLP, optimization, plotting functions and various types of data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in ...