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The Journal of Derivatives
Article . 2020 . Peer-reviewed
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2019
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Model-Free Backward and Forward Nonlinear PDEs for Implied Volatility

Authors: Sasha Stoikov; Andrey Itkin; Peter Carr;

Model-Free Backward and Forward Nonlinear PDEs for Implied Volatility

Abstract

We derive a backward and forward nonlinear PDEs that govern the implied volatility of a contingent claim whenever the latter is well-defined. This would include at least any contingent claim written on a positive stock price whose payoff at a possibly random time is convex. We also discuss suitable initial and boundary conditions for those PDEs. Finally, we demonstrate how to solve them numerically by using an iterative finite-difference approach.

31 pages, 9 figures, 2 tables

Related Organizations
Keywords

FOS: Economics and business, Quantitative Finance - Computational Finance, Quantitative Finance - Mathematical Finance, Computational Finance (q-fin.CP), Pricing of Securities (q-fin.PR), Quantitative Finance - Pricing of Securities, Mathematical Finance (q-fin.MF)

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citations
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!
1
Average
Average
Average
Green
bronze