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Hi I am new to the forum, so forgive me any misappropriations with this post. I have searched existing posts and none come quite close to my question.
I am writing a thesis about volatility modelling, and have calibrated the relevant models to market data, such that I have the model parameters.
Now I want to fit the volatility surfaces of the model and compare to the empirically observed and want to do it with the Gatheral SVI model. I have some code from mathworks that seem to do the trick, however I just want to ensure that I input the right data.
My questions:
I have read both Gatheral and Wilmott on the subject, and both seem to brush over this pretty rudimentary distinction. Hopefully my difficulty with this important issue, haven't impuned me too much.
Kind Regards,
Karsten
I am writing a thesis about volatility modelling, and have calibrated the relevant models to market data, such that I have the model parameters.
Now I want to fit the volatility surfaces of the model and compare to the empirically observed and want to do it with the Gatheral SVI model. I have some code from mathworks that seem to do the trick, however I just want to ensure that I input the right data.
My questions:
- The Empirically observed surface: Am I correct to assume that this is the Black-Scholes implied volatility from actual option prices?
- Implied volatility surface of any other option pricing model: This one I have some trouble with, but am I correct to assume that I re-price the options with the relevant option pricing formula and re-fit the surface?
I have read both Gatheral and Wilmott on the subject, and both seem to brush over this pretty rudimentary distinction. Hopefully my difficulty with this important issue, haven't impuned me too much.
Kind Regards,
Karsten
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