A new calibration of the Heston stochastic local volatility model and its parallel implementation on GPUs
DOI10.1016/j.matcom.2020.04.001OpenAlexW3025542386MaRDI QIDQ1998126
Carlos Vázquez, Ana María Ferreiro-Ferreiro, Luis Souto, José A. García-Rodríguez
Publication date: 6 March 2021
Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.matcom.2020.04.001
global optimizationMonte Carlosimulated annealingcalibrationdifferential evolutionmulti-GPUHestonstochastic-local volatility
Applications of statistics (62Pxx) Actuarial science and mathematical finance (91Gxx) Harmonic analysis in one variable (42Axx) Distribution theory (60Exx) Numerical methods in Fourier analysis (65Txx)
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- Global optimization of statistical functions with simulated annealing
- Optimization by Simulated Annealing
- A Novel Pricing Method for European Options Based on Fourier-Cosine Series Expansions
- Mimicking the one-dimensional marginal distributions of processes having an Ito differential
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Basin hopping with synched multi L-BFGS local searches. Parallel implementation in multi-CPU and GPUs
- An efficient implementation of parallel simulated annealing algorithm in GPUs
- THE HESTON STOCHASTIC-LOCAL VOLATILITY MODEL: EFFICIENT MONTE CARLO SIMULATION
- A comparison of biased simulation schemes for stochastic volatility models
- Pricing of vanilla and first-generation exotic options in the local stochastic volatility framework: survey and new results
- A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
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