Calamos Dynamic Correlations

CCD Fund  USD 23.68  0.12  0.51%   
The current 90-days correlation between Calamos Dynamic Conv and Calamos LongShort Equity is 0.25 (i.e., Modest diversification). The correlation of Calamos 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.

Calamos Dynamic Correlation With Market

Weak diversification

The correlation between Calamos Dynamic Convertible and DJI is 0.31 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Dynamic Convertible 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 Calamos Dynamic Convertible. Also, note that the market value of any fund could be closely tied with the direction of predictive economic indicators such as signals in main economic indicators.

Moving together with Calamos Fund

  0.68TDF Templeton Dragon ClosedPairCorr
  0.66SRV Cushing Mlp TotalPairCorr
  0.62XOM Exxon Mobil Corp Sell-off TrendPairCorr
  0.71HD Home Depot Sell-off TrendPairCorr
  0.8MCD McDonalds Fiscal Year End 3rd of February 2025 PairCorr
  0.69DD Dupont De Nemours Fiscal Year End 4th of February 2025 PairCorr

Moving against Calamos Fund

  0.44BA Boeing Fiscal Year End 29th of January 2025 PairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between Calamos Fund performing well and Calamos 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 Calamos 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.