Stochastic Analysis and Applications · 2007 · 22 citations · 3 references
EngineeringMathematicsFinancial EconomicsProbability TheoryStochastic ProcessesContinuous-time Stochastic ProcessesDiffusion ProcessesIntegral EquationsMarkov ProcessesStochastic CalculusStochastic Differential EquationsConvolutionSemimartingale ModelsSemimartingalesStochastic IntegralsStochastic Integration
Abstract A generalization of Émery's inequality for stochastic integrals is shown for convolution integrals of the form , where Z is a semimartingale, Y an adapted càdlàg process, and g a deterministic function. An even more general inequality for processes with two parameters is proved. The inequality is used to prove existence and uniqueness of solutions of equations of variation-of-constants type. As a consequence, it is shown that the solution of a semilinear delay differential equation with functional Lipschitz diffusion coefficient and driven by a general semimartingale satisfies a variation-of-constants formula.
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Volterra Equations Driven by Semimartingales
Philip Protter · The Annals of Probability · 1985 · 115 citations · Full text