Lévy processes

E1020434

Lévy processes are a class of stochastic processes with stationary, independent increments that generalize random walks and Brownian motion, widely used to model jump-like and continuous-time random phenomena in probability theory and finance.

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Predicate Object
instanceOf class of stochastic processes
mathematical concept
object of probability theory
characterizedBy Lévy–Itô decomposition NERFINISHED
Lévy–Khintchine formula NERFINISHED
definedOn probability space
distributionClass infinitely divisible distributions
field mathematical finance
probability theory
stochastic processes
generalizes Brownian motion NERFINISHED
random walks
hasComponent Lévy measure NERFINISHED
Lévy triplet NERFINISHED
diffusion coefficient
drift term
hasProperty Markov property
cadlag paths
independent increments
infinitely divisible finite-dimensional distributions
stationary increments
stochastic continuity
includesAsSpecialCase Brownian motion NERFINISHED
Poisson process NERFINISHED
compound Poisson process
gamma process
normal inverse Gaussian process
stable process
tempered stable process
variance gamma process
indexSet nonnegative real numbers
namedAfter Paul Lévy NERFINISHED
relatedConcept Ornstein–Uhlenbeck processes driven by Lévy noise
infinitely divisible laws
semimartingales
subordinators
timeParameter continuous time
usedIn biology
insurance mathematics
option pricing
physics
queueing theory
risk management
signal processing
usedToModel asset returns with jumps
heavy-tailed phenomena
jump processes in finance
random motion with jumps
turbulence

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Paul Lévy knownFor Lévy processes