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This paper introduces the minCluster portfolio, which is a portfolio optimization method combining the optimization of downside risk measures, hierarchical clustering and cellwise robustness. Using cellwise robust association measures, the minCluster portfolio is able to retrieve the underlying...
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Portfolio risk management plays an important role in successful investments. Portfolio standard deviation, value-at-risk, expected shortfall, and maximum absolute deviation are widely used portfolio risk measures. However, the existing portfolio risk measures are vulnerable to larger skewness...
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In investment portfolio management, every investor generally wishes to obtain the highest possible expected returns for a given level of risk, as represented by the volatility of the returns of the investor’s portfolio. Therefore, in order to make rational capital allocation decisions, the...
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tails of portfolio losses compared to both a linear frailty model and machine learning methods ignoring frailty correlation …
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