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This thesis investigates models of market risk assessment based on genetic algorithms, with specific reference to asset portfolio choice under volatile market conditions. It does so by developing computational simulations of asset portfolios, which are then subjected to stressful price events. A...
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processes are correlated by a common shock. A general mean-variance optimization problem is investigated, that is, besides the …
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between time series' structural breaks. Then, we build on the classical portfolio optimization theory of Markowitz and use …, the lowest volatility, and second-lowest drawdown. The main implication for this method in portfolio management is …
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We present the first necessary and sufficient conditions for there to be a unique perfect-foresight solution to an otherwise linear dynamic model with occasionally binding constraints, given a fixed terminal condition. We derive further conditions on the existence of a solution in such models....
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