Maple Case Study: Financial Engineers at Mitsubishi UFJ Securities International Use Maple in Multi-asset Product Development
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The latest release of Maple offers quantitative finance professionals a platform for maximizing their productivity and efficiency, strengthening its reputation as their tool of choice. Maple’s powerful mathematical engine and sophisticated algorithms deliver a rich environment for modelling financial products and for process optimization. “In the world of financial options, analytical results are not always obvious, and testing for their existence can be a tedious and lengthy process. Employing Maple makes it very different; if a symbolic solution exists, Maple finds it quickly and correctly,” said Igor Hlivka of Mitsubishi UFJ Securities International. He recently developed a series of applications using Maple for multi-asset product development and for deriving semi-analytical solutions to non-standard options where multivariate stochastic processes play a determining role. |
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