November 18th, 2004, 1:17 pm
Thanks gc and estcourt. I downloaded the paper and took a quick look. A few follow-up questions for you both, if you don't mind ... I am trying to decide if I should attempt to implement.1. Does anyone have an opinion on the extra impact of adding higher order terms to equation 2.17a? Does it make a difference? The authors seem to imply not.2. What are some conventions to choosing the value of beta? The authors seem to imply that beta should be chosen a priori. 0 is for a stochastic normal, 1 for a stochastic lognormal, 1/2 is for a stochastic square-root process. Any practical guidelines in choosing these parameters?3. They mention typically that the ATM vol is input and then we can solve for alpha. This leaves us with two parameters to estimate (once ATM vol and beta are determined). What procedures would you recommend to solve for these parameters? I have some old code for Levenberg-Marquardt, perhaps this is one way to go, but are there practical methods which might be easier/better? 4. When they say that Greeks are determined from "finite differences" am I correct in assuming that they just shock the given parameter, then take the difference in the values and divide by the shock size (as opposed to setting up some type of finite difference grid)?5. Lastly, if I understand the model correctly, it is used to fit the skew or smile for a given option expiration date on a given asset only. For example, I could use it to calibrate to the prices of ITM/ATM/OTM 3m10y swaptions, but not if I wanted to simultaneously fit the prices of ITM/ATM/OTM 3m10y and 6m10y swaptions.Thanks for the help .... it is much appreciated!!Rgds