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  2. Stochastic calculus - Wikipedia

    en.wikipedia.org/wiki/Stochastic_calculus

    An important application of stochastic calculus is in mathematical finance, in which asset prices are often assumed to follow stochastic differential equations.For example, the Black–Scholes model prices options as if they follow a geometric Brownian motion, illustrating the opportunities and risks from applying stochastic calculus.

  3. Mathematical finance - Wikipedia

    en.wikipedia.org/wiki/Mathematical_finance

    Mathematical finance, also known as quantitative finance and financial mathematics, is a field of applied mathematics, concerned with mathematical modeling in the financial field. In general, there exist two separate branches of finance that require advanced quantitative techniques: derivatives pricing on the one hand, and risk and portfolio ...

  4. Quantitative analysis (finance) - Wikipedia

    en.wikipedia.org/.../Quantitative_analysis_(finance)

    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.

  5. Malliavin calculus - Wikipedia

    en.wikipedia.org/wiki/Malliavin_calculus

    The calculus has been applied to stochastic partial differential equations as well. The calculus allows integration by parts with random variables; this operation is used in mathematical finance to compute the sensitivities of financial derivatives. The calculus has applications in, for example, stochastic filtering.

  6. 11 Personal Finance Equations Everyone Needs to Know - AOL

    www.aol.com/news/2012-07-31-11-personal-finance...

    By Jill Krasny and Zachry Floro Math class may have seemed pointless back in the day, but it turns out all those confusing equations are quite useful. Math can be used to solve every money problem ...

  7. Financial engineering - Wikipedia

    en.wikipedia.org/wiki/Financial_engineering

    Financial engineering is a multidisciplinary field involving financial theory, methods of engineering, tools of mathematics and the practice of programming. [3] It has also been defined as the application of technical methods, especially from mathematical finance and computational finance, in the practice of finance.

  8. Monte Carlo methods in finance - Wikipedia

    en.wikipedia.org/wiki/Monte_Carlo_methods_in_finance

    This distribution allows, for example, for an estimate of the probability that the project has a net present value greater than zero (or any other value). [11] See further under Corporate finance. In valuing an option on equity , the simulation generates several thousand possible (but random) price paths for the underlying share, with the ...

  9. Econophysics - Wikipedia

    en.wikipedia.org/wiki/Econophysics

    Basic tools of econophysics are probabilistic and statistical methods often taken from statistical physics.. Physics models that have been applied in economics include the kinetic theory of gas (called the kinetic exchange models of markets [7]), percolation models, chaotic models developed to study cardiac arrest, and models with self-organizing criticality as well as other models developed ...