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Local Risk-Minimization under the Benchmark Approach
Published 8 Oct 2012 in q-fin.PR and math.PR | (1210.2337v1)
Abstract: We study the pricing and hedging of derivatives in incomplete financial markets by considering the local risk-minimization method in the context of the benchmark approach, which will be called benchmarked local risk-minimization. We show that the proposed benchmarked local risk-minimization allows to handle under extremely weak assumptions a much richer modeling world than the classical methodology.
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