Loomis Sayles Correlations

LSSNX Fund  USD 28.77  0.36  1.27%   
The current 90-days correlation between Loomis Sayles Small and Mainstay Large Cap is -0.08 (i.e., Good diversification). The correlation of Loomis Sayles 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.

Loomis Sayles Correlation With Market

Very weak diversification

The correlation between Loomis Sayles Small and DJI is 0.44 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Small and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Loomis Sayles Small. 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 board of governors.

Moving together with Loomis Mutual Fund

  0.79LSCNX Loomis Sayles SmallPairCorr
  0.92LSCRX Loomis Sayles SmallPairCorr
  0.76LSMIX Loomis Sayles SmallmidPairCorr
  0.92LSSCX Loomis Sayles SmallPairCorr
  1.0LSSIX Loomis Sayles SmallPairCorr
  0.91LSVAX Loomis Sayles SmallPairCorr
  1.0LCGRX Loomis Sayles SmallPairCorr
  0.71VSGIX Vanguard Small CapPairCorr
  0.71VISGX Vanguard Small Cap Potential GrowthPairCorr
  0.71JGMRX Janus TritonPairCorr

Moving against Loomis Mutual Fund

  0.81RYAFX Inverse Russell 2000PairCorr
  0.44HFHAX Hartford FloatingPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between Loomis Mutual Fund performing well and Loomis Sayles 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 Loomis Sayles' 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.