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Exit Problems for Lévy and Markov Processes with One-Sided Jumps and Related Topics



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Author: Avram Florin View person
Title: Exit Problems for Lévy and Markov Processes with One-Sided Jumps and Related Topics View cluster
Publisher: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Physical description: 1 online resource (218 p.)
Topical subject: Mathematics and Science
Research and information: general
Uncontrolled subject: adjustment coefficient
affine coefficients
bankruptcy
barrier strategies
boundary-value problem
capital injection constraint
capital injections
capital surplus process
completely monotone distributions
de Finetti valuation objective
diffusion-type process
dividend payment
dividends
drawdown
drawdown process
error bounds
first crossing time
first hitting time
first passage
fluctuation theory
general tax structure
heavy tails
hyperexponential distribution
hypergeometric functions
joint Laplace transform
Laguerre series
Laplace transform
Lévy processes
linear diffusions
log-convexity
logarithmic asymptotics
non-random overshoots
normal reflection
optimal control
optimal dividends
Padé approximations
Parisian ruin
Pollaczek-Khinchine formula
potential measure
quadratic programming problem
reflected Brownian motion
reflected Lévy processes
reflection and absorption
ruin probability
running maximum and minimum processes
scale function
scale functions
Segerdahl process
skip-free random walks
Sparre Andersen model
spectrally negative Lévy process
spectrally negative Lévy processes
spectrally negative Markov process
spectrally negative process
stochastic control
Tricomi-Weeks Laplace inversion
two-dimensional Brownian motion
variational problem
Person (second resp.): AvramFlorin
Summary, etc: Exit problems for one-dimensional Lévy processes are easier when jumps only occur in one direction. In the last few years, this intuition became more precise: we know now that a wide variety of identities for exit problems of spectrally-negative Lévy processes may be ergonomically expressed in terms of two q-harmonic functions (or scale functions or positive martingales) W and Z. The proofs typically require not much more than the strong Markov property, which hold, in principle, for the wider class of spectrally-negative strong Markov processes. This has been established already in particular cases, such as random walks, Markov additive processes, Lévy processes with omega-state-dependent killing, and certain Lévy processes with state dependent drift, and seems to be true for general strong Markov processes, subject to technical conditions. However, computing the functions W and Z is still an open problem outside the Lévy and diffusion classes, even for the simplest risk models with state-dependent parameters (say, Ornstein-Uhlenbeck or Feller branching diffusion with phase-type jumps).
Preferred title for the work: Exit Problems for Lévy and Markov Processes with One-Sided Jumps and Related Topics  View cluster
Format: Language material
Bibliographic level Monograph
Language: English
Record Nr.: 9910557372503321
You will find it: Univ. Federico II
Opac: Check copies here