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Abstract
Unit root models of market volatility are generalized here in terms of non-linear mean variance efficiency frontiers. A logistic process model is thereby developed and empirically applied over the monthly return data of S&P 500 and other mutual funds to test the existence of chaotic dynamics. Empirical results fail to reject the hypothesis of no chaotic behaviour in several cases
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