American Option Valuation with Particle Filters
DOI10.1007/978-3-642-25746-9_2zbMath1252.91082OpenAlexW1505336188MaRDI QIDQ2917425
Publication date: 28 September 2012
Published in: Springer Proceedings in Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-642-25746-9_2
optimizationMonte Carlooptimal stoppingAmerican optionsvolatilityparticle filterrisk premiumposterior inferencelatent stochastic process
Numerical methods (including Monte Carlo methods) (91G60) Statistical methods; risk measures (91G70) Bayesian inference (62F15) Derivative securities (option pricing, hedging, etc.) (91G20) Optimal stopping in statistics (62L15)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- The Pricing of Options and Corporate Liabilities
- On leverage in a stochastic volatility model
- American stochastic volatility call option pricing: a lattice based approach
- Bayesian analysis of stochastic volatility models with fat-tails and correlated errors
- Particle learning and smoothing
- Sequential Monte Carlo pricing of American-style options under stochastic volatility models
- Fast simulated annealing in \(\mathbb R^d\) with an application to maximum likelihood estimation in state-space models
- A simulation approach to optimal stopping under partial information
- Martingales and stochastic integrals in the theory of continuous trading
- The pricing of the American option
- American options exercise boundary when the volatility changes randomly
- Valuation of the early-exercise price for options using simulations and nonparametric regression
- Pricing American-style securities using simulation
- A convenient way to characterize equivalent martingale measures in incomplete markets
- American options with stochastic dividends and volatility: a nonparametric investigation
- Central limit theorem for sequential Monte Carlo methods and its application to Bayesian inference
- The Valuation of Volatility Options
- Pricing American Options Fitting the Smile
- Sequential Monte Carlo Methods in Practice
- A Comparison of Two Quadratic Approaches to Hedging in Incomplete Markets
- A Theory of the Term Structure of Interest Rates
- Approximation by quantization of the filter process and applications to optimal stopping problems under partial observation
- The Valuation of American Options for a Class of Diffusion Processes
- Sequential Monte Carlo Methods for Option Pricing
- Exact Simulation of Stochastic Volatility and Other Affine Jump Diffusion Processes
- Complete Models with Stochastic Volatility
- OPTION HEDGING AND IMPLIED VOLATILITIES IN A STOCHASTIC VOLATILITY MODEL
- ALTERNATIVE CHARACTERIZATIONS OF AMERICAN PUT OPTIONS
- Filtering via Simulation: Auxiliary Particle Filters
- Multigrid for American option pricing with stochastic volatility
- Monte Carlo valuation of American options
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Stock Price Distributions with Stochastic Volatility: An Analytic Approach
- Sequential decision processes with essential unobservables
This page was built for publication: American Option Valuation with Particle Filters