A neural network trained to invert rough Heston parameters from implied volatility surfaces relies most on short-maturity deep in-the-money prices, a pattern absent in the standard Heston model.
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Deep learning interpretability for rough volatility
A neural network trained to invert rough Heston parameters from implied volatility surfaces relies most on short-maturity deep in-the-money prices, a pattern absent in the standard Heston model.