Truncated path signatures combined with XGBoost classify stochastic volatility model classes from simulated paths with high accuracy, including under random parameter variation and closely spaced Hurst parameters.
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Signature-based identification of volatility models from path geometry
Truncated path signatures combined with XGBoost classify stochastic volatility model classes from simulated paths with high accuracy, including under random parameter variation and closely spaced Hurst parameters.