Stochastic Collocation - Old And New

Thomas Roos recently put a preprint on SSRN called Simple, Flexible, Analytic, Arbitrage Free Volatility Interpolation. Being interested in the subject, I had a detailed look at it. It turns out that Thomas stumbled upon spline stochastic collocation without realizing it.

There are a few differences in his approach:

I had also explored a fixed strike axis initially (even back in 2014 - I uploaded some old notes on SSRN around this). I found it to be somewhat unstable back then, but it may well be that I did not put enough efforts into it, especially since optimizing the y’s instead of the x’s allowed for a straightforward use of B-splines, which is very attractive. It is very direct to impose monotonicity with B-splines.

The main advantage of optimizing on the x’s instead of the y’s is that the knots are defined in the more usual strike space.

Now I find interesting that someone else stumbled upon essentially the same idea starting from another point of view. There may be more merits to this parameterization than I thought.

The challenges I found with stochastic collocations were:

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