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Dynamic optimal capital growth with risk constraints
Affiliation:1. Kyung Hee University, Republic of Korea;2. KISDI (Korea Information Society Development Institute), Republic of Korea;3. University of Otago, New Zealand;4. University of Newcastle, Australia
Abstract:In this paper, risk metrics in capital growth and drawdown as a financial risk measure were considered. Moreover, we developed a dynamic portfolio management model with constraints on the maximal drawdown. Exact optimization algorithms run into difficulties in this framework and this motivates the investigation of simulated annealing optimized algorithm to solve the problem of maximizing long term growth of simultaneous risky investment. Empirical research indicates that the approach is inspiring for this class of portfolio optimization problems.
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