Randomized Optimal Stopping Algorithms and Their Convergence Analysis
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Publication:5162847
DOI10.1137/20M1373876zbMath1476.91218arXiv2002.00816MaRDI QIDQ5162847
Christian Bayer, Denis Belomestny, Paul Hager, Paolo Pigato, John G. M. Schoenmakers
Publication date: 5 November 2021
Published in: SIAM Journal on Financial Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2002.00816
Numerical methods (including Monte Carlo methods) (91G60) Stopping times; optimal stopping problems; gambling theory (60G40) Derivative securities (option pricing, hedging, etc.) (91G20) Numerical solutions to stochastic differential and integral equations (65C30)
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Cites Work
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- Optimal stopping under model uncertainty: randomized stopping times approach
- Pricing Bermudan options by nonparametric regression: optimal rates of convergence for lower estimates
- On the rates of convergence of simulation-based optimization algorithms for optimal stopping problems
- On randomized stopping
- Sharper bounds for Gaussian and empirical processes
- Pricing American-style securities using simulation
- A distribution-free theory of nonparametric regression
- Rates of strong uniform consistency for multivariate kernel density estimators. (Vitesse de convergence uniforme presque sûre pour des estimateurs à noyaux de densités multivariées)
- On the dependence of the Berry-Esseen bound on dimension
- Optimal approximation of piecewise smooth functions using deep ReLU neural networks
- Playing with ghosts in a Dynkin game
- Iterative construction of the optimal Bermudan stopping time
- Bracketing metric entropy rates and empirical central limit theorems for function classes of Besov- and Sobolev-type
- Pricing American Options: A Duality Approach
- Randomized Stopping Times: DOOB'S Optiomal Sampling Theorem and Optimal Stopping
- Advanced Simulation-Based Methods for Optimal Stopping and Control
- Robust Libor Modelling and Pricing of Derivative Products
- Continuous-Time Dynkin Games with Mixed Strategies
- Monte Carlo valuation of American options
- Pricing American options by exercise rate optimization
- Solving high-dimensional optimal stopping problems using deep learning
- Valuing American Options by Simulation: A Simple Least-Squares Approach
- Deep optimal stopping
- A QUANTIZATION TREE METHOD FOR PRICING AND HEDGING MULTIDIMENSIONAL AMERICAN OPTIONS
- Stopping games with randomized strategies
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