An auto-realignment method in quasi-Monte Carlo for pricing financial derivatives with jump structures
文摘
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The idea of machine learning is introduced to the QMC area.

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A new path generation method called the auto-realignment method is proposed.

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The k-means clustering algorithm is used to select representative normal vectors.

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Experiments demonstrate the efficiency and robustness of the proposed method.

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