November 8th, 2004, 3:49 pm
I am currently working on portfolio convexity and I have the same problem : convexity can't be linear regarding the callable features of the convertible bonds.What I think is that you should take three points (i.e. three values for the underlying basket), compute them and calculate the portfolio convexity thanks to the three values obtained.A question rises then : how to take the three points ?A first approach would be to take a volatility spread up and down.A second one would be to divide the space (in n-dimensions) into equal-probabilistic spaces, but for that you need to inverse the gaussian cumulative density.Or you can do as everybody does in the market, i.e, you take [-sigma%,+sigma%] on each stock to compute the three points.If you have any other idea, plesae tell me, I am really interested in this problem.