Stacked Monte Carlo for Option Pricing
@article{Jacquier2019StackedMC, title={Stacked Monte Carlo for Option Pricing}, author={A. Jacquier and E. Malone and Mugad Oumgari}, journal={Econometrics: Econometric & Statistical Methods - General eJournal}, year={2019} }
We introduce a stacking version of the Monte Carlo algorithm in the context of option pricing. Introduced recently for aeronautic computations, this simple technique, in the spirit of current machine learning ideas, learns control variates by approximating Monte Carlo draws with some specified function. We describe the method from first principles and suggest appropriate fits, and show its efficiency to evaluate European and Asian Call options in constant and stochastic volatility models.
Topics from this paper
One Citation
References
SHOWING 1-10 OF 36 REFERENCES
A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options
- Economics
- 1993
- 7,383
- Highly Influential
- PDF
Calibrating rough volatility models: a convolutional neural network approach
- Computer Science, Economics
- 2018
- 17
- PDF