Quantization goes polynomial
From MaRDI portal
Publication:4991080
DOI10.1080/14697688.2020.1828608zbMath1467.91210arXiv1710.11435OpenAlexW3096565722MaRDI QIDQ4991080
Lucio Fiorin, Giorgia Callegaro, Andrea Pallavicini
Publication date: 2 June 2021
Published in: Quantitative Finance (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1710.11435
Numerical methods (including Monte Carlo methods) (91G60) Derivative securities (option pricing, hedging, etc.) (91G20) Probabilistic methods, stochastic differential equations (65C99)
Related Items (1)
Cites Work
- Unnamed Item
- Option pricing where the underlying assets follow a Gram/Charlier density of arbitrary order
- Polynomial diffusions and applications in finance
- Polynomial processes and their applications to mathematical finance
- The Jacobi stochastic volatility model
- Gram-Charlier processes and applications to option pricing
- Foundations of quantization for probability distributions
- Markov cubature rules for polynomial processes
- Product Markovian quantization of a diffusion process with applications to finance
- Quantization meets Fourier: a new technology for pricing options
- Retrieving risk neutral densities based on risk neutral moments through a Gram-Charlier series expansion
- A stochastic quantization method for nonlinear problems
- Stochastic stability for feedback quantization schemes
- Recursive marginal quantization of higher-order schemes
- Pricing via recursive quantization in stochastic volatility models
- A backward Monte Carlo approach to exotic option pricing
- A General Valuation Framework for SABR and Stochastic Local Volatility Models
- Recursive Marginal Quantization of the Euler Scheme of a Diffusion Process
- Conic quantization: stochastic volatility and market implied liquidity
- A QUANTIZATION TREE METHOD FOR PRICING AND HEDGING MULTIDIMENSIONAL AMERICAN OPTIONS
- Introduction to vector quantization and its applications for numerics
This page was built for publication: Quantization goes polynomial