Markovian structure of the Volterra Heston model

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Abstract

We characterize the Markovian and affine structure of the Volterra Heston model in terms of an infinite-dimensional adjusted forward process and specify its state space. More precisely, we show that it satisfies a stochastic partial differential equation and displays an exponentially-affine characteristic functional. As an application, we deduce an existence and uniqueness result for a Banach-space valued square-root process and provide its state space. This leads to another representation of the Volterra Heston model together with its Fourier–Laplace transform in terms of this possibly infinite system of affine diffusions.

Original languageEnglish
Pages (from-to)63-72
Number of pages10
JournalStatistics and Probability Letters
Volume149
DOIs
Publication statusPublished - 1 Jun 2019
Externally publishedYes

Keywords

  • Affine Volterra processes
  • Markovian representation
  • Riccati–Volterra equations
  • Rough volatility
  • Stochastic Volterra equations
  • Stochastic invariance

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