martingale representation theorem

E59640

The martingale representation theorem is a fundamental result in stochastic calculus stating that, under suitable conditions, every martingale can be expressed as a stochastic integral with respect to a Brownian motion (or more generally, a fundamental martingale).

Jump to: Surface forms Statements Referenced by

Observed surface forms (1)

Surface form Occurrences
Martingale representation theorem 0

Statements (45)

Predicate Object
instanceOf theorem in stochastic calculus
appliesTo continuous martingales
martingales adapted to the Brownian filtration
square-integrable martingales
assumes completeness of probability space
probability space with filtration
right-continuous filtration
usual conditions on filtration
conclusion Brownian motion
surface form: Brownian motion is a fundamental martingale for its natural filtration

every square-integrable martingale can be represented as a stochastic integral
martingales are generated by a fundamental martingale
dealsWith Brownian motion
adapted processes
filtrations
martingales
stochastic integrals
field probability theory
stochastic analysis
stochastic calculus
generalizationOf representation of martingales in Brownian filtration
hasVariant martingale representation for Lévy processes
martingale representation for Poisson random measures
martingale representation in general semimartingale setting
implies any L2-martingale is an Itô integral with respect to Brownian motion
uniqueness of integrand up to indistinguishability
importance central in theory of stochastic integration
fundamental structural result for martingales
key tool in continuous-time finance
relatedTo Brownian filtration
Clark–Ocone formula
Doob–Meyer decomposition
surface form: Doob–Meyer decomposition theorem

Itô calculus
surface form: Itô integral

Itô’s lemma
surface form: Itô's lemma
representationWithRespectTo Brownian motion
fundamental martingale
requires existence of stochastic integral with respect to Brownian motion
square-integrability of the martingale
typicalFormulation every L2-martingale adapted to the Brownian filtration is an Itô integral of a predictable process
usedIn Girsanov theorem applications
backward stochastic differential equations
completeness of financial markets
derivation of Black–Scholes formula
hedging theory
mathematical finance
stochastic control

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

Girsanov theorem relatedTo martingale representation theorem