Segall Bryant Correlations

SBHPX Fund  USD 10.12  0.01  0.1%   
The current 90-days correlation between Segall Bryant Hamill and Small Cap Value is -0.15 (i.e., Good diversification). The correlation of Segall Bryant 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.

Segall Bryant Correlation With Market

Good diversification

The correlation between Segall Bryant Hamill and DJI is -0.09 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Segall Bryant Hamill and DJI in the same portfolio, assuming nothing else is changed.
  
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Segall Bryant Hamill. 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 american community survey.

Moving together with Segall Mutual Fund

  0.98SBAPX Segall Bryant HamillPairCorr
  0.89WTLTX Westcore Flexible IncomePairCorr
  0.89WILTX Westcore Flexible IncomePairCorr
  0.61VFSIX Vanguard Short TermPairCorr
  0.71LALDX Lord Abbett ShortPairCorr
  0.65VSCSX Vanguard Short TermPairCorr
  0.8LDLAX Lord Abbett ShortPairCorr
  0.75LDLRX Lord Abbett ShortPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between Segall Mutual Fund performing well and Segall Bryant 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 Segall Bryant'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.