Implemented fit method for the normal model based on the fit method for lognormal one. Added initial guess of numerical optimization to method's arguments in both models. #7
I was using your PySABR package in my own derivatives project and found out there is a lack of calibration implemented for the Normal (Bachelier) model, however it's very easy to add it based on already existing fit method in the lognormal class. I also found it helpful to have an initial guess for calibrating model parameters to be explicitly available.
I was using your PySABR package in my own derivatives project and found out there is a lack of calibration implemented for the Normal (Bachelier) model, however it's very easy to add it based on already existing fit method in the lognormal class. I also found it helpful to have an initial guess for calibrating model parameters to be explicitly available.