• C++ Programming for Financial Engineering
    Highly recommended by thousands of MFE students. Covers essential C++ topics with applications to financial engineering. Learn more Join!
    Python for Finance with Intro to Data Science
    Gain practical understanding of Python to read, understand, and write professional Python code for your first day on the job. Learn more Join!
    An Intuition-Based Options Primer for FE
    Ideal for entry level positions interviews and graduate studies, specializing in options trading arbitrage and options valuation models. Learn more Join!

Matlab (or Python) code for calibration of market option prices for variance gamma and CGMY model

Joined
7/25/18
Messages
1
Points
11
Hello,
Could anyone give me some advice on which book/website to read about calibration of market option prices?
I am writing an MSc dissertation at the moment and would like to include a chapter about the calibration of market option prices. I have never used optimization packages in Python or Matlab before and cannot find information on how to use them for this particular problem.
I defined the characteristic function for the log-return, defined the function for finding a call price using Carr-Madan approach via fast Fourier transform, defined the function for finding root mean squared error... But how to find optimal parameters of the model, that minimize RMSE, I do not know...
I would be grateful for any ideas and help!
 
Back
Top