Conditional quasi-Monte Carlo methods and dimension reduction for option pricing and hedging with discontinuous functions
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Publication:1643844
DOI10.1016/j.cam.2018.05.004zbMath1422.91776OpenAlexW2807383024WikidataQ129869070 ScholiaQ129869070MaRDI QIDQ1643844
Publication date: 20 June 2018
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.cam.2018.05.004
Numerical methods (including Monte Carlo methods) (91G60) Monte Carlo methods (65C05) Derivative securities (option pricing, hedging, etc.) (91G20)
Related Items (5)
Efficient simulation of the price and the sensitivities of basket options under time-changed Brownian motions ⋮ Preintegration via Active Subspace ⋮ Numerical smoothing with hierarchical adaptive sparse grids and quasi-Monte Carlo methods for efficient option pricing ⋮ Quasi-Monte Carlo-based conditional pathwise method for option Greeks ⋮ Efficient Importance Sampling in Quasi-Monte Carlo Methods for Computational Finance
Cites Work
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- Quasi-Monte Carlo methods with applications in finance
- When are quasi-Monte Carlo algorithms efficient for high dimensional integrals?
- On the \(L_2\)-discrepancy for anchored boxes
- Scrambled net variance for integrals of smooth functions
- The Brownian bridge does not offer a consistent advantage in quasi-Monte Carlo integration
- Principal component analysis.
- The effective dimension and quasi-Monte Carlo integration
- Smoothness and dimension reduction in quasi-Monte Carlo methods
- Control variates and conditional Monte Carlo for basket and Asian options
- On pricing discrete barrier options using conditional expectation and importance sampling Monte Carlo
- Monte Carlo and quasi-Monte Carlo sampling
- Conditional Sampling for Barrier Option Pricing under the LT Method
- Good Path Generation Methods in Quasi-Monte Carlo for Pricing Financial Derivatives
- Pricing Derivative Securities Using Integrated Quasi--Monte Carlo Methods with Dimension Reduction and Discontinuity Realignment
- Quasi-Monte Carlo for finance applications
- On the Effects of Dimension Reduction Techniques on Some High-Dimensional Problems in Finance
- Quasi-Random Sequences and Their Discrepancies
- The smoothing effect of integration in $\mathbb {R}^d$ and the ANOVA decomposition
- Efficient Computation of Option Prices and Greeks by Quasi--Monte Carlo Method with Smoothing and Dimension Reduction
- Handling Discontinuities in Financial Engineering: Good Path Simulation and Smoothing
- Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
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