Markov cubature rules for polynomial processes
DOI10.1016/j.spa.2019.06.010zbMath1457.60052arXiv1707.06849OpenAlexW2566004933WikidataQ127682811 ScholiaQ127682811MaRDI QIDQ1986009
Damir Filipović, Martin Larsson, Sergio Pulido
Publication date: 7 April 2020
Published in: Stochastic Processes and their Applications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1707.06849
American optionstransition probabilitiescubature ruleasymptotic momentspolynomial processtransition rate matrix
Numerical methods (including Monte Carlo methods) (91G60) Continuous-time Markov processes on general state spaces (60J25) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Applications of stochastic analysis (to PDEs, etc.) (60H30) General theory of stochastic processes (60G07) Numerical solutions to stochastic differential and integral equations (65C30)
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Cites Work
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- The adaptive patched cubature filter and its implementation
- Polynomial diffusions and applications in finance
- Cubature methods for stochastic (partial) differential equations in weighted spaces
- Polynomial processes and their applications to mathematical finance
- Error estimates for binomial approximations of game options
- An interest rate model with upper and lower bounds
- The Jacobi stochastic volatility model
- Polynomial processes in stochastic portfolio theory
- A cubature based algorithm to solve decoupled McKean-Vlasov forward-backward stochastic differential equations
- Polynomial diffusion models for life insurance liabilities
- Second order discretization of backward SDEs and simulation with the cubature method
- Cubature on Wiener space
- Calculating the Greeks by cubature formulae
- Cubature on Wiener space in infinite dimension
- A note on Tchakaloff’s Theorem
- A Jump‐diffusion Model for Exchange Rates in a Target Zone
- Recombining Tree Approximations for Optimal Stopping for Diffusions
- Solving Backward Stochastic Differential Equations Using the Cubature Method: Application to Nonlinear Pricing
- Cubature Kalman Filters
- Quantization goes polynomial
- Polynomial Jump-Diffusion Models
- DIFFUSION MODELS FOR EXCHANGE RATES IN A TARGET ZONE
- A QUANTIZATION TREE METHOD FOR PRICING AND HEDGING MULTIDIMENSIONAL AMERICAN OPTIONS
- The proof of Tchakaloff’s Theorem
- A Diffusion Limit for Generalized Correlated Random Walks
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