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SIAM Journal on Financial Mathematics
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Article . 2023
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Calibration of the Bass Local Volatility Model

Calibration of the bass local volatility model
Authors: Beatrice Acciaio; Antonio Marini; Gudmund Pammer;

Calibration of the Bass Local Volatility Model

Abstract

The Bass local volatility model introduced by Backhoff-Veraguas, Beiglböck, Huesmann, and Källblad is a Markov model perfectly calibrated to vanilla options at finitely many maturities, that approximates the Dupire local volatility model. Conze and Henry-Labordère show that its calibration can be achieved by solving a fixed-point equation. In this paper we complement the analysis and show existence and uniqueness of the solution to this equation, and that the fixed-point iteration scheme converges at a linear rate.

Related Organizations
Keywords

60G44, 65J15, 91G30, Numerical solutions to equations with nonlinear operators, martingale, Probability (math.PR), Martingales with continuous parameter, Mathematical Finance (q-fin.MF), fixed point equation, FOS: Economics and business, Mathematical Finance, FOS: Mathematics, Brownian motion, local volatility model, Interest rates, asset pricing, etc. (stochastic models), Probability

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average
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