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arxiv: 1604.05540 · v1 · pith:PGIQPLTUnew · submitted 2016-04-19 · 🧮 math.NA · cs.NA· math.PR

Discretizing the Heston Model: An Analysis of the Weak Convergence Rate

classification 🧮 math.NA cs.NAmath.PR
keywords convergencerateweakhestonanalysisassumptionsmodelunder
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In this manuscript we analyze the weak convergence rate of a discretization scheme for the Heston model. Under mild assumptions on the smoothness of the payoff and on the Feller index of the volatility process, respectively, we establish a weak convergence rate of order one. Moreover, under almost minimal assumptions we obtain weak convergence without a rate. These results are accompanied by several numerical examples. Our error analysis relies on a classical technique from Talay & Tubaro, a recent regularity estimate for the Heston PDE by Feehan & Pop and Malliavin calculus.

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