Calamos Phineus Correlations

CPLIX Fund  USD 16.65  0.07  0.42%   
The current 90-days correlation between Calamos Phineus Longshort and William Blair Small is -0.09 (i.e., Good diversification). The correlation of Calamos Phineus 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. If the correlation is 0, the equities are not correlated; they are entirely random.

Calamos Phineus Correlation With Market

Good diversification

The correlation between Calamos Phineus Longshort and DJI is -0.1 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Calamos Phineus Longshort 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 Phineus Longshort. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.

Moving together with Calamos Mutual Fund

  0.73DHLSX Diamond Hill LongPairCorr
  0.73DIAYX Diamond Hill LongPairCorr
  0.72DIAMX Diamond Hill LongPairCorr
  0.64PWLIX Pimco Rae WorldwidePairCorr
  0.65PWLMX Pimco Rae WorldwidePairCorr
  0.73JNJ Johnson JohnsonPairCorr

Moving against Calamos Mutual Fund

  0.43BA BoeingPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

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