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The asset management industry is increasingly confronted with the investor’s demand for absolute-performance portfolios. Beside the challenge to come up with appropriate investment strategies, asset managers also face the problem of explaining the achieved results, especially whether these...
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In this paper, we show how stochastic optimisation and worst-case analysis can be used together in order to provide central banks with a straightforward tool for selecting a policy rule that limits worst-case outcomes while at the same time providing reasonably good performance on average. We...
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In this paper we present an algorithm for continuous minimax problem where a quasi--Newton direction conditional on appropriate maximizers is used. The direction involves a quadratic subproblem to compute the minimum norm subgradient. An application of the algorithm to a monetary policy design...
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We present a primal-dual interior-point method for constrained nonlinear, discrete minimax problems where the objective functions and constraints are not necessarily convex. The algorithm uses two merit functions to ensure progress toward the points satisfying the first-order optimality...
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