Akima for Yield Curve Interpolation ?
On my test of yield curve interpolations, focusing on parallel delta versus sequential delta, Akima is the worst of the lot. I am not sure why this interpolation is still popular when most alternatives seem much better. Hyman presented some of the issues with Akima in his paper in 1983.In the following graph, a higher value is a higher parallel-vs-sequential difference.
That plus the Hagan-West example of a tricky curve looks a bit convoluted with it (although it does not have any negative forward).
I have used Quantlib implementation, those results make me wonder if there is not something wrong with the boundaries.