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Dimension reduction methods are useful pre-processing tools for efficient quantitative analysis with the aim to preserve the main features of the multidimensional data. However, negative values resulting from the transformation may obscure the interpretation of the analysis. This novel study...
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sampling error in the asset covariance matrix leads to systematic biases in the volatility and correlation forecasts of these …
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’s other assets, but correlation is useful only if it provides a good estimate of how an asset’s returns co-occur cumulatively … with the other asset returns over the investor’s prospective horizon. And because correlation is an average of sub …
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We consider the problem of portfolio optimization with a correlation constraint. The framework is the multi …-period stochastic financial market setting with one tradable stock, stochastic income, and a non-tradable index. The correlation … portofolio´s expected exponential utility subject to the correlation constraint. Two types of optimal portfolio strategies are …
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