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» Parallel Monte Carlo Methods for Derivative Security Pricing
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NAA
2000
Springer
131views Mathematics» more  NAA 2000»
13 years 8 months ago
Parallel Monte Carlo Methods for Derivative Security Pricing
Abstract. Monte Carlo (MC) methods have proved to be flexible, robust and very useful techniques in computational finance. Several studies have investigated ways to achieve greater...
Giorgio Pauletto
FPL
2008
Springer
153views Hardware» more  FPL 2008»
13 years 6 months ago
FPGA acceleration of quasi-Monte Carlo in finance
Today, quasi-Monte Carlo (QMC) methods are widely used in finance to price derivative securities. The QMC approach is popular because for many types of derivatives it yields an es...
Nathan A. Woods, Tom VanCourt
CEC
2005
IEEE
13 years 10 months ago
A parallel Monte Carlo simulation on cluster systems for financial derivatives pricing
In recent years the complexity of numerical computations in computational financial applications has been increased enormously. Monte Carlo algorithm is one of main tools in comput...
Jin Suk Kim, Suk Joon Byun
ENGL
2008
186views more  ENGL 2008»
13 years 4 months ago
High Performance Monte-Carlo Based Option Pricing on FPGAs
High performance computing is becoming increasingly important in the field of financial computing, as the complexity of financial models continues to increase. Many of these financ...
Xiang Tian, Khaled Benkrid, Xiaochen Gu
WSC
2007
13 years 6 months ago
Approximations and control variates for pricing portfolio credit derivatives
Portfolio credit derivatives that depend on default correlation are increasingly widespread in the credit market. Valuing such products often entails Monte Carlo simulation. Howev...
Zhiyong Chen, Paul Glasserman