Model-free stochastic collocation for an arbitrage-free implied volatility, part II

Journal Article (2019)
Author(s)

Fabien Le Floch (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Cornelis W. Oosterlee (Centrum Wiskunde & Informatica (CWI), TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Numerical Analysis
DOI related publication
https://doi.org/10.3390/risks7010030 Final published version
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Publication Year
2019
Language
English
Research Group
Numerical Analysis
Journal title
Risks
Issue number
1
Volume number
7
Article number
30
Pages (from-to)
1-21
Downloads counter
305
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Abstract

This paper explores the stochastic collocation technique, applied on a monotonic spline, as an arbitrage-free and model-free interpolation of implied volatilities. We explore various spline formulations, including B-spline representations. We explain how to calibrate the different representations against market option prices, detail how to smooth out the market quotes, and choose a proper initial guess. The technique is then applied to concrete market options and the stability of the different approaches is analyzed. Finally, we consider a challenging example where convex spline interpolations lead to oscillations in the implied volatility and compare the spline collocation results with those obtained through arbitrage-free interpolation technique of Andreasen and Huge.