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In this paper, we identify partial correlation information structures that allow for simpler reformulations in … programming reformulation which explicitly captures partially known correlation information between uncertain processing times of …
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This paper examines optimal portfolio selection using quantile-based risk measures such as Valueat-Risk (VaR) and Conditional Value-at-Risk (CVaR). We address the case of a singular covariance matrix of asset returns, which leads to an optimization problem with infinitely many solutions. An...
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computation. Good comparisons with established results in Mean-Variance and CVaR optimization are obtained, and we give some … random weights are also proposed. Extensions to the value functions of prospect theory are possible. The initial method …
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