Loomis Sayles Correlations

LSDRX Fund  USD 9.66  0.01  0.10%   
The current 90-days correlation between Loomis Sayles Interm and Inverse Government Long is 0.01 (i.e., Significant 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

Good diversification

The correlation between Loomis Sayles Intermediate and DJI is -0.14 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Intermediate 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 Intermediate. 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 persons.

Moving together with Loomis Mutual Fund

  0.89NECZX Loomis Sayles StrategicPairCorr
  0.84NECLX Loomis Sayles LimitedPairCorr
  0.79NEFHX Loomis Sayles HighPairCorr
  0.88NEFZX Loomis Sayles StrategicPairCorr
  0.81NEHYX Loomis Sayles HighPairCorr
  0.82NELYX Loomis Sayles LimitedPairCorr
  0.73LSHIX Loomis Sayles InstitPairCorr

Moving against Loomis Mutual Fund

  0.56LIPNX Loomis Sayles InflationPairCorr
  0.36LSGSX Loomis Sayles InflationPairCorr

Related Correlations Analysis


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.