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We present a model for pricing and hedging derivative securities and option portfolios in an environment where the volatility is not known precisely, but is assumed instead to lie between two extreme values σminand σmax. These bounds could be inferred from extreme values of the implied...
Genetic algorithms are a class of probabilistic optimization techniques that have proved useful in a wide variety of problem domains. This paper offers an introduction and overview to genetic algorithms and examines some of the finance-related applications to which the technique has been applied.
To price contingent claims in a multidimensional frictionless security market it is sufficient that the volatility of the security process is a known function of price and time. In this note we introduce optimal and risk-free strategies for intermediaries in such markets to meet their...
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