Loomis Sayles Correlations

LIPNX Fund  USD 9.71  0.03  0.31%   
The current 90-days correlation between Loomis Sayles Inflation and Rbc Emerging Markets is -0.04 (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

Average diversification

The correlation between Loomis Sayles Inflation and DJI is 0.11 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Loomis Sayles Inflation 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 Inflation. 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

  0.96VIPSX Vanguard Inflation-protecPairCorr
  0.96VIPIX Vanguard Inflation-protecPairCorr
  0.96VAIPX Vanguard Inflation-protecPairCorr
  0.99FLIBX American Funds InflationPairCorr
  0.98FIBLX American Funds InflationPairCorr
  0.96BFICX American Funds InflationPairCorr
  0.96BFIAX American Funds InflationPairCorr
  0.96BFIFX American Funds InflationPairCorr
  0.96PARRX Real Return FundPairCorr
  0.99PRLPX Pimco Real ReturnPairCorr
  0.87KO Coca Cola Fiscal Year End 11th of February 2025 PairCorr
  0.61VZ Verizon Communications Fiscal Year End 28th of January 2025 PairCorr
  0.67JNJ Johnson Johnson Fiscal Year End 28th of January 2025 PairCorr
  0.71PFE Pfizer Inc Fiscal Year End 4th of February 2025 PairCorr
  0.63MMM 3M Company Fiscal Year End 28th of January 2025 PairCorr

Moving against Loomis Mutual Fund

  0.76KNPCX Kinetics ParadigmPairCorr
  0.76KNPAX Kinetics ParadigmPairCorr
  0.76KNPYX Kinetics ParadigmPairCorr
  0.75KMKCX Kinetics Market OppoPairCorr
  0.74WWNPX Kinetics ParadigmPairCorr
  0.73KSCOX Kinetics Small CapPairCorr
  0.73LSHUX Horizon Spin OffPairCorr
  0.72KINCX Kinetics InternetPairCorr
  0.59SMPSX Semiconductor Ultrasector Steady GrowthPairCorr
  0.76BAC Bank of America Fiscal Year End 10th of January 2025 PairCorr
  0.73CSCO Cisco Systems Aggressive PushPairCorr
  0.7CVX Chevron Corp Fiscal Year End 7th of February 2025 PairCorr
  0.67TRV The Travelers Companies Fiscal Year End 17th of January 2025 PairCorr
  0.63AA Alcoa Corp Fiscal Year End 15th of January 2025 PairCorr
  0.58PREIX T Rowe PricePairCorr
  0.57DIS Walt DisneyPairCorr
  0.56AXP American Express Fiscal Year End 24th of January 2025 PairCorr
  0.44XOM Exxon Mobil Corp Fiscal Year End 7th of February 2025 PairCorr
  0.4PNOPX Putnam Multi CapPairCorr
  0.39CAT Caterpillar Fiscal Year End 3rd of February 2025 PairCorr

Related Correlations Analysis

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations   
EMSLXREMVX
ASCLXOPTCX
OPTCXPRNHX
ASCLXPRNHX
ASCLXSMPIX
OPTCXSMPIX
  
High negative correlations   
PRNHXREMVX
PRNHXEMSLX
OPTCXREMVX
OPTCXEMSLX

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.