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Stochastic volatility estimation is an important task for correctly pricing derivatives in mathematical finance. Such derivatives are used by varying types of market participant as either hedging tools or for bespoke market exposure. We evaluate our adaptive path particle filter, a recombinatory evolutionary algorithm based on the generation gap concept(More)
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