2020
DOI: 10.1287/stsy.2019.0052
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Polynomial Jump-Diffusion Models

Abstract: We develop a comprehensive mathematical framework for polynomial jump diffusions in a semimartingale context, which nest affine jump diffusions and have broad applications in finance. We show that the polynomial property is preserved under polynomial transformations and Lévy time change. We present a generic method for option pricing based on moment expansions. As an application, we introduce a large class of novel financial asset pricing models with excess log returns that are conditional Lévy based on polyno… Show more

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Cited by 32 publications
(48 citation statements)
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“…Sub-fractional polynomial jump-diffusion models which nest affine sub-fractional jump-diffusions. Non-fractional polynomial jump-diffusion models are studied in Filipovic and Larsson [14]. A subfractional jump-diffusion model is polynomial if its extended generator maps any polynomial to a polynomial of equal or lower degree.…”
Section: Term Structure Models and Derivative Pricingmentioning
confidence: 99%
“…Sub-fractional polynomial jump-diffusion models which nest affine sub-fractional jump-diffusions. Non-fractional polynomial jump-diffusion models are studied in Filipovic and Larsson [14]. A subfractional jump-diffusion model is polynomial if its extended generator maps any polynomial to a polynomial of equal or lower degree.…”
Section: Term Structure Models and Derivative Pricingmentioning
confidence: 99%
“…and δ 0 , δ 1 : R → R integrable functions with respect to the Lévy measure [53]. For every bounded function f ∈ C 2 (R), the extended generator associated with the process Y is given by…”
Section: Polynomial Processesmentioning
confidence: 99%
“…From the invariance property of , one can derive the moment formula (Filipović & Larsson, 2020, Theorem 2.4)…”
Section: Polynomial Frameworkmentioning
confidence: 99%
“…This is an unconstrained convex optimization problem where we have closed form (up to numerical integration) expressions for the gradient and hessian, which makes it a prototype problem to be solved with Newton's method. 8 For simplicity, we assume a compound Poisson process with a single jump intensity, however, this can be generalized (see Filipović & Larsson, 2020). 9 We could also calibrate the model without doing any interpolation of the data.…”
Section: E N D N O T E Smentioning
confidence: 99%
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