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For the purpose of long-term risk control, insurance companies perform long-term asset-liability analysis, a highly complex scenario analysis over very long horizons using different assumptions about their business and financial markets. The computation of such scenarios over the entire asset liability universe of an insurance company is extremely computationally intensive. For companies who have control of the core analytics of such simulations, parallelizing the computation can greatly speed up the process.
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