Neural Option Pricing for Rough Bergomi Model

By Changqing Teng, Guanglian Li

Rating

1532
Battle Count: 45

Relevance

8/10
Highly relevant for option pricing and risk management in markets with rough volatility

Implementation Complexity

7/10
Requires implementation of complex numerical schemes and neural network training

Reproducibility

4/5
The paper provides detailed methodology and implementation details, including a GitHub repository for the code

About this paper

Methodology: Neural SDE. Problem types: Option Pricing, Time Series Forecasting, Stochastic Volatility Modeling.

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