Generalized measure Black-Scholes equation: Towards option self-similar pricing
Nizar Riane, Claire David

TL;DR
This paper extends the Black-Scholes model by incorporating investor uncertainty through a measure, using advanced mathematical tools to establish well-posedness and analyzing self-similar cases numerically.
Contribution
It introduces a generalized Black-Scholes framework that accounts for uncertainty via measures, employing Dirichlet forms and PDE theory for rigorous analysis.
Findings
Well-posedness of the generalized model established
Numerical analysis conducted for self-similar measures
Model captures investor uncertainty effects in option pricing
Abstract
In this work, we give a generalized formulation of the Black-Scholes model. The novelty resides in considering the Black-Scholes model to be valid on 'average', but such that the pointwise option price dynamics depends on a measure representing the investors' 'uncertainty'. We make use of the theory of non-symmetric Dirichlet forms and the abstract theory of partial differential equations to establish well posedness of the problem. A detailed numerical analysis is given in the case of self-similar measures.
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Taxonomy
TopicsStochastic processes and financial applications · Complex Systems and Time Series Analysis
