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Fast Greeks by simulation: the block adjoint method with memory reduction

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Publication:399079
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DOI10.1016/j.cam.2014.07.005zbMath1307.91190OpenAlexW1980237550MaRDI QIDQ399079

Wenbin Hu, Sheng-Hong Li

Publication date: 19 August 2014

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2014.07.005


zbMATH Keywords

sensitivityMonte Carloadjointblock simulationmemory reduction


Mathematics Subject Classification ID

Numerical methods (including Monte Carlo methods) (91G60) Monte Carlo methods (65C05) Derivative securities (option pricing, hedging, etc.) (91G20)


Related Items

Backward simulation methods for pricing American options under the CIR process



Cites Work

  • Unnamed Item
  • Pricing multi-asset American-style options by memory reduction Monte Carlo methods
  • The forward-path method for pricing multi-asset American-style options under general diffusion processes
  • Evaluating Derivatives
  • On the computation of option prices and Greeks under the CEV model
  • Memory-Reduction Method for Pricing American-Style Options under Exponential Lévy Processes
  • Implicit Taylor methods for stiff stochastic differential equations
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