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We study properties of the Rearrangement Algorithm (RA) in the context of inferring dependence among variables given their marginal distributions and the distribution of the sum. We show that the RA yields solutions that are “close to each other” and exhibit almost maximum entropy. The...
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We propose a novel model-free approach to obtain the joint risk-neutral distribution among several assets that is consistent with market prices of options on these assets and their weighted index. In an empirical application, we use options on the S&P 500 index and its nine industry sectors. The...
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We propose a novel model-free approach to extract a joint multivariate distribution, which is consistent with options written on individual stocks as well as on various available indices. To do so, we first use the market prices of traded options to infer the risk-neutral marginal distributions...
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