Short Duration Correlations

Mutual Funds . USA . 
Fund . Short Duration Inflation
APOCX Fund  USD 9.82  0.00  0.00%   
The current 90-days correlation between Short Duration Inflation and Tiaa Cref Large Cap Value is 0.11 (i.e., Average diversification). The correlation of Short Duration 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 Duration Correlation With Market

Average diversification

The correlation between Short Duration Inflation and DJI is 0.13 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Short Duration Inflation and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Short Duration 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 unemployment.

Moving against Short Mutual Fund

  0.31AMEIX Equity GrowthPairCorr
  0.33TWUSX Short Term GovernmentPairCorr
  0.32TWUOX Short Term GovernmentPairCorr

Related Correlations Analysis


Risk-Adjusted Indicators

There is a big difference between Short Mutual Fund performing well and Short Duration 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 Duration'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.

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