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Showing 1 to 1 of 1 for “"volatility model calibration"”.

  1. Long-memory stochastic volatility model calibration using deep neural nets

    Widespread use of stochastic volatility models in the financial industry is bottlenecked by the complexity and intractability they present. Since the seminal work in quantitative finance by Black et al. and Merton, the infamous Black-Scholes model has been extensively used in the industry for …

    uiuc Repository record for Long-memory stochastic volatility model calibration using deep neural nets (opens in a new tab)