Small-midcap Dividend Correlations

PMDDX Fund  USD 19.58  0.08  0.41%   
The current 90-days correlation between Small Midcap Dividend and Calamos Dynamic Convertible is 0.52 (i.e., Very weak diversification). The correlation of Small-midcap Dividend 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.

Small-midcap Dividend Correlation With Market

Poor diversification

The correlation between Small Midcap Dividend Income and DJI is 0.75 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Small Midcap Dividend Income and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Small Midcap Dividend Income. 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 banks.

Moving together with Small-midcap Mutual Fund

  0.64PFISX International Small PanyPairCorr
  0.61PGBGX Blue Chip FundPairCorr
  0.61PGBHX Blue Chip FundPairCorr

Moving against Small-midcap Mutual Fund

  0.37PGSLX Principal Global SusPairCorr

Related Correlations Analysis


Risk-Adjusted Indicators

There is a big difference between Small-midcap Mutual Fund performing well and Small-midcap Dividend 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 Small-midcap Dividend'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.