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Comparison of randomization techniques for low-discrepancy sequences in finance
Authors:Email author" target="_blank">Tsutomu?TamuraEmail author
Institution:(1) Structured Finance Rating Division, Rating and Investment Information, Inc., 1-4-1, Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan
Abstract:This paper deals with comparisons of low-discrepancy sequences in terms of actual performance through numerical computation for option pricing. For that purpose, we construct a variety of randomized low-discrepancy sequences based on classical low-discrepancy sequences. A randomization structure by coordinate-wise and digit-wise permutations proves to give excellent results regardless of the classical low-discrepancy sequences. This paper represents only the author’s personal opinion, and has absolutely nothing to do with his affiliation.
Keywords:Low-discrepancy sequence  Quasi-Monte Carlo simulation  Randomization  Error estimation  Derivative pricing  Path dependent option
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