Money Market Correlations

NYCXX Fund  USD 1.00  0.00  0.00%   
The current 90-days correlation between Money Market Obligations and Gmo Equity Allocation is -0.39 (i.e., Very good diversification). The correlation of Money Market 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.

Money Market Correlation With Market

Good diversification

The correlation between Money Market Obligations and DJI is -0.01 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Money Market Obligations 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 Money Market Obligations. Also, note that the market value of any money market fund could be closely tied with the direction of predictive economic indicators such as signals in interest.

Moving against Money Money Market Fund

  0.64PFHCX Pacific Funds SmallPairCorr
  0.31PPRPX Putnam Panagora RiskPairCorr
  0.31PPRWX Putnam Panagora RiskPairCorr
  0.72BA Boeing Fiscal Year End 29th of January 2025 PairCorr
  0.37MRK Merck Company Fiscal Year End 6th of February 2025 PairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between Money Money Market Fund performing well and Money Market Money Market 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 Money Market'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.