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Functional Expansions
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abstract
Path dependence is omnipresent in many disciplines such as engineering, system theory and finance. It reflects the influence of the past on the future, often expressed through functionals. However, non-Markovian problems are often infinite-dimensional, thus challenging from a conceptual and computational perspective. In this work, we shed light on expansions of functionals. First, we treat static expansions made around paths of fixed length and propose a generalization of the Wiener series$-$the intrinsic value expansion (IVE). In the dynamic case, we revisit the functional Taylor expansion (FTE). The latter connects the functional It\^o calculus with the signature to quantify the effect in a functional when a "perturbation" path is concatenated with the source path. In particular, the FTE elegantly separates the functional from future trajectories. The notions of real analyticity and radius of convergence are also extended to the path space. We discuss other dynamic expansions arising from Hilbert projections and the Wiener chaos, and finally show financial applications of the FTE to the pricing and hedging of exotic contingent claims.
Forward citations
Cited by 2 Pith papers
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Stochastic control with signatures via Riccati equations on the tensor algebra
Non-Markovian path-dependent control problems with signature rewards admit optimal feedback controls and value processes as local linear signature expansions whose coefficients solve infinite-dimensional Riccati equat...
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Affine Structure of the Brownian Signature
Time-augmented Brownian signatures admit entire signature expansions of conditional Fourier-Laplace transforms and local Riccati expansions of their logs, with global recovery via recentered randomized Riccati equations.
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