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Encyclopedia > Malliavin calculus

The Malliavin calculus, named after Paul Malliavin, is a theory of variational stochastic calculus. In other words it provides the mechanics to compute derivatives of random variables. Calculus is a central branch of mathematics, developed from algebra and geometry, and built on two major complementary ideas. ... Stochastic calculus is a branch of mathematics that operates on stochastic processes. ... In mathematics, the derivative is one of the two central concepts of calculus. ... A random variable can be thought of as the numeric result of operating a non-deterministic mechanism or performing a non-deterministic experiment to generate a random result. ...


A useful feature is the ability to perform integration by parts on random variables. Major uses are in financial mathematics to compute sensitivities of financial derivatives (also known as the Greeks). In calculus, and more generally in mathematical analysis, integration by parts is a rule that transforms the integral of products of functions into other, possibly simpler, integrals. ... A random variable can be thought of as the numeric result of operating a non-deterministic mechanism or performing a non-deterministic experiment to generate a random result. ... Mathematical finance is the branch of applied mathematics concerned with the financial markets. ... A derivative is a financial contract whose payoffs over a period of time are derived from the performance of assets, interest rates, exchange rates, or indices. ...


External links

  • Bernt Oksendal. An Introduction To Malliavin Calculus With Applications To Economics
  • Peter K. Friz. An Introduction to Malliavin Calculus

  Results from FactBites:
 
PPUR - Malliavin Calculus (136 words)
Malliavin calculus is a stochastic calculus of variations on the Wiener space.
On the applied level, Malliavin calculus is used, for example, in the study by probabilistic methods of mathematical models in finance.
The first five chapters are devoted to an introduction of the calculus itself, based on a general Gaussian space.
Stochastic calculus - Wikipedia, the free encyclopedia (692 words)
Stochastic calculus is a branch of mathematics that operates on stochastic processes.
The best-known stochastic process to which stochastic calculus is applied is the Wiener process (named in honor of Norbert Wiener), which is used for modelling Brownian motion as described by Albert Einstein and other physical diffusion processes in space of particles subject to random forces.
The main flavours of stochastic calculus are the Itô calculus and its variational relative the Malliavin calculus.
  More results at FactBites »


 
 

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