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stochastic volatility model and Brent’s iterative root-finding method for the calculation of implied volatilities. The numerical …
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) index call and put options with different volatility forecasting approaches. Since the volatility is the key parameter in … pricing options, GARCH (Generalized Autoregressive Conditional Heteroskedasticity), implied volatility, historical volatility …, and implied volatility index (VBI) are used to determine the best volatility approach for pricing options according to …
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We propose how deep neural networks can be used to calibrate the parameters of Stochastic-Volatility Jump …
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volatility. Many exotics are priced in a local volatility framework. Pricing under local volatility has become a field of … that assumes a constant volatility. The Johannesburg Stock Exchange (JSE) lists exotic options on its Can-Do platform. Most … exotic options listed on the JSE’s derivative exchanges are valued by local volatility models. These models needs a local …
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We propose a fully data-driven approach to calibrate local stochastic volatility (LSV) models, circumventing in … particular the ad hoc interpolation of the volatility surface. To achieve this, we parametrize the leverage function by a family … be seen in the context of neural SDEs and (causal) generative adversarial networks: we generate volatility surfaces by …
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In this article we evaluate the pricing performance of the rather simple but revolutionary Black-Scholes model and one of the more complex techniques (neural networks) on the European-style S&P Index call and put options over the period of 1.6.2006 till 8.6.2007. Our results on call options show...
Persistent link: https://www.econbiz.de/10003823914