An efficient exponential twisting importance sampling technique for pricing financial derivatives
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Publication:5022767
DOI10.1080/03610926.2018.1530788OpenAlexW2907676328WikidataQ128688854 ScholiaQ128688854MaRDI QIDQ5022767
Guiding Gu, Kun Du, Jun Mei Ma
Publication date: 19 January 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2018.1530788
Numerical methods (including Monte Carlo methods) (91G60) Monte Carlo methods (65C05) Derivative securities (option pricing, hedging, etc.) (91G20)
Cites Work
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- The Pricing of Options and Corporate Liabilities
- An efficient control variate method for pricing variance derivatives
- Robust adaptive importance sampling for normal random vectors
- Unconstrained recursive importance sampling
- Monte Carlo methods for security pricing
- On sample average approximation algorithms for determining the optimal importance sampling parameters in pricing financial derivatives on Lévy processes
- Stochastic calculus for finance. II: Continuous-time models.
- Hedging variance options on continuous semimartingales
- Asymptotically Optimal Importance Sampling and Stratification for Pricing Path-Dependent Options
- Monte Carlo acceleration method for pricing variance derivatives under stochastic volatility models with jump diffusion
- SENSITIVITY ANALYSIS OF NONLINEAR BEHAVIOR WITH DISTORTED PROBABILITY
- PRICING OPTIONS ON VARIANCE IN AFFINE STOCHASTIC VOLATILITY MODELS
- Least-squares Importance Sampling for Monte Carlo security pricing
- THE EFFECT OF JUMPS AND DISCRETE SAMPLING ON VOLATILITY AND VARIANCE SWAPS
- Valuing American Options by Simulation: A Simple Least-Squares Approach
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