Derivatives on the Chicago Board Options Exchange volatility index (VIX) have gained significant popularity over the …

-stochastic volatility (LSV) model. Despite their complexity, autocallable structured notes are the most traded equity-linked exotic …, the commonly-used local volatility (LV) model is overly simplified for pricing and risk management. Given its ability to … match the implied volatility smile and reproduce its realistic dynamics, the LSV model is, in contrast, better suited for …

This paper proposes the sample path generation method for the stochastic volatility version of the CGMY process. We …

The term "volatility" applies to changeability: both that which can be measured, such as temperatures and stock prices …, and that which cannot be easily measured, such as affects and emotions. Quantitative financial volatility has typically … between volatility in dance and finance, was a notable exception. Martin focused on derivatives, which played a critical role …

intention of reducing volatility, and thus, the option price. We employ the Normal Inverse Gaussian (NIG) and Rough Fractional … Stochastic Volatility (RFSV) models to the cryptocurrency market and using the Black-Scholes as the benchmark model. In doing so …, we intend to capture the extreme characteristics such as jumps and volatility roughness for cryptocurrency price …

categories with a high level of volatility in In-the money category, other finding concludes that the Monte Carlo Simulation … method is outperforming when the volatility is lower, while the Black-Sholes model and the Binomial model are outperforming …