Variational Autoencoders for Completing the Volatility Surfaces
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References listed on IDEAS
- Blanka Horvath & Aitor Muguruza & Mehdi Tomas, 2021. "Deep learning volatility: a deep neural network perspective on pricing and calibration in (rough) volatility models," Quantitative Finance, Taylor & Francis Journals, vol. 21(1), pages 11-27, January.
- Heston, Steven L, 1993. "A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 327-343.
- Matthias Fengler, 2009.
"Arbitrage-free smoothing of the implied volatility surface,"
Quantitative Finance, Taylor & Francis Journals, vol. 9(4), pages 417-428.
- Fengler, Matthias R., 2005. "Arbitrage-free smoothing of the implied volatility surface," SFB 649 Discussion Papers 2005-019, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
- repec:bla:jfinan:v:53:y:1998:i:6:p:2059-2106 is not listed on IDEAS
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Keywords
variational autoencoders; synthetic volatility; volatility surface; illiquid markets;All these keywords.
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