Titlebook: Equity Derivatives and Hybrids; Markets, Models and Oliver Brockhaus Book 2016 The Editor(s) (if applicable) and The Author(s) 2016 equiti

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Applying Molecular and Materials Modelingng the use of single curve modelling has become more complicated since effects such as liquidity, funding costs, credit risk and collateral agreements can no longer be ignored. However, arguably, this complicates the nature of fixed income underlyings rather than creates new ones.

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Serhat Yarat,Sibel Senan,Zeynep Ormanity returns or through a combination of both. Additionally, the volatility process and the return distributions may exhibit jumps. Stochastic volatility models are incomplete and not Markovian in the filtration generated by the stock process. Calibration of stochastic volatility (or indeed any) model to the Vanilla market has an impact on hedging.

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Empirical Evidence,ttempting to model the underlying for the risk management of derivatives. Derivatives often depend on one or more closing prices within a time period ranging from few months up to several years. Thus the focus in this chapter is a time series of closing prices, although the methods can also be applied to higher frequency data.

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