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Using Premia and Nsp for Constructing a Risk Management Benchmark for Testing Parallel Architecture

Published 19 Jan 2010 in cs.CE, cs.DC, cs.MS, cs.NA, q-fin.CP, and q-fin.PR | (1001.3213v2)

Abstract: Financial institutions have massive computations to carry out overnight which are very demanding in terms of the consumed CPU. The challenge is to price many different products on a cluster-like architecture. We have used the Premia software to valuate the financial derivatives. In this work, we explain how Premia can be embedded into Nsp, a scientific software like Matlab, to provide a powerful tool to valuate a whole portfolio. Finally, we have integrated an MPI toolbox into Nsp to enable to use Premia to solve a bunch of pricing problems on a cluster. This unified framework can then be used to test different parallel architectures.

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