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Neural Networks with Local Converging Inputs for Efficient Options Pricing Models

arXiv cs.LG ↗ · 2026-08-05 Cached

This paper introduces Neural Networks with Local Converging Inputs (NNLCI) to accelerate PDE-based option pricing, combining coarse and refined mesh solutions to reduce RMSE by 4–12x in multi-asset Black–Scholes and Heston models.

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