Short-term Government Correlations

TWARX Fund  USD 9.08  0.01  0.11%   
The current 90-days correlation between Short Term Government and Angel Oak Financial is 0.22 (i.e., Modest diversification). The correlation of Short-term Government 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.

Short-term Government Correlation With Market

Average diversification

The correlation between Short Term Government Fund and DJI is 0.14 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Short Term Government Fund 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 Short Term Government Fund. 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 metropolitan statistical area.

Moving together with Short-term Mutual Fund

  0.75TWACX Short Term GovernmentPairCorr
  0.97TWAVX Short Term GovernmentPairCorr
  0.69TWGAX International GrowthPairCorr
  0.69TWIEX International GrowthPairCorr
  0.61TWUSX Short Term GovernmentPairCorr
  0.97TWUOX Short Term GovernmentPairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between Short-term Mutual Fund performing well and Short-term Government 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 Short-term Government'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.