Ares Dynamic Correlations

ARDC Fund  USD 15.34  0.07  0.46%   
The current 90-days correlation between Ares Dynamic Credit and CBH is 0.12 (i.e., Average diversification). The correlation of Ares Dynamic is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

Ares Dynamic Correlation With Market

Average diversification

The correlation between Ares Dynamic Credit and DJI is 0.12 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Ares Dynamic Credit and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Ares Dynamic Credit. Also, note that the market value of any fund could be closely tied with the direction of predictive economic indicators such as signals in unemployment.

Related Correlations Analysis

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations   
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High negative correlations   
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Risk-Adjusted Indicators

There is a big difference between Ares Fund performing well and Ares Dynamic Fund doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Ares Dynamic's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.