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The law of the Euler scheme for stochastic differential equations
3 references·3 citing·19 second hop
The law of the Euler scheme for stochastic differential equations (1996)The law of the Euler scheme for stochasti…The Law of the Euler Scheme for Stochastic Differential Equations: II. Convergence Rate of the Density (1996)The Law of the Euler Scheme f…The Malliavin Calculus and Related Topics (1995)The Malliavin Calculus and Re…Variance Reduction for Simulated Diffusions (1994)Variance Reduction for Simula…Weak rate of convergence of the Euler–Maruyama scheme for stochastic differential equations with non-regular drift (2017)Weak rate of convergence of t…Multilevel Monte Carlo Quadrature of Discontinuous Payoffs in the Generalized Heston Model Using Malliavin Integration by Parts (2015)Multilevel Monte Carlo Quadra…Discretization error of stochastic integrals (2011)Discretization error of stoch…A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options (1993)Option valuation using the fast Fourier transform (1999)Multilevel Monte Carlo Path Simulation (2008)The Pricing of Options and Corporate Liabilities (1973)The Euler scheme with irregular coefficients (2002)Variance Reduction Methods for Simulation of Densities on Wiener Space (2002)Variance reduction for Monte Carlo methods to evaluate option prices under multi-factor stochastic volatility models (2004)Brownian Motion and Stochastic Calculus (2007)Numerical solution of stochastic differential equations (2016)Option Pricing and Replication with Transactions Costs (1985)Asymptotic results for time-changed Lévy processes sampled at hitting times (2011)Almost sure optimal hedging strategy (2014)The Malliavin Calculus and Related Topics (2006)Weak approximation of killed diffusion using Euler schemes (2000)Estimation of Continuous-Time Markov Processes Sampled at Random Time Intervals (2004)Minimum variance importance samplingviaPopulation Monte Carlo (2007)Stochastic Calculus with Respect to Gaussian Processes (2001)Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes (2004)Central limit theorems for sequences of multiple stochastic integrals (2005)
this work references cited by second hop

References

  • 1995The Malliavin Calculus and Related Topics1,545 cited
  • 1996The Law of the Euler Scheme for Stochastic Differential Equations: II. Convergence Rate of the Density187 cited
  • 1994Variance Reduction for Simulated Diffusions94 cited

Cited by

  • 2015Multilevel Monte Carlo Quadrature of Discontinuous Payoffs in the Generalized Heston Model Using Malliavin Integration by Parts33 cited
  • 2011Discretization error of stochastic integrals32 cited
  • 2017Weak rate of convergence of the Euler–Maruyama scheme for stochastic differential equations with non-regular drift28 cited

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