Angel Oak Correlations

AOUIX Fund  USD 9.85  0.01  0.10%   
The current 90-days correlation between Angel Oak Ultrashort and Bbh Intermediate Municipal is 0.56 (i.e., Very weak diversification). The correlation of Angel Oak 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.
  
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Angel Oak Ultrashort. 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 gross domestic product.

Moving together with Angel Mutual Fund

  0.79ANGCX Angel Oak MultiPairCorr
  0.83ANGLX Angel Oak MultiPairCorr
  0.84ANGIX Angel Oak MultiPairCorr
  0.71DSL Doubleline IncomePairCorr
  1.0AOUNX Angel Oak UltrashortPairCorr
  1.0AOUAX Angel Oak UltrashortPairCorr
  0.99PTSPX Pimco Short TermPairCorr
  0.99PTSHX Short Term FundPairCorr
  0.98PSFAX Short Term FundPairCorr
  0.99PTSRX Short Term FundPairCorr
  0.99PSDNX Putnam Ultra ShortPairCorr
  1.0LUSNX Lord Abbett UltraPairCorr
  0.96VUBFX Vanguard Ultra-short-termPairCorr
  0.99PSDRX Putnam Short DurationPairCorr
  1.0PSDYX Putnam Short DurationPairCorr
  0.61MHITX Mfs High IncomePairCorr
  0.62ADOCX Alger Dynamic OpportPairCorr
  0.82AHIFX American High IncomePairCorr

Related Correlations Analysis

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Risk-Adjusted Indicators

There is a big difference between Angel Mutual Fund performing well and Angel Oak 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 Angel Oak'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.