Energy Fund Correlations

RYEIX Fund  USD 272.53  3.85  1.43%   
The current 90-days correlation between Energy Fund Investor and Ashmore Emerging Markets is 0.17 (i.e., Average diversification). The correlation of Energy Fund 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.

Energy Fund Correlation With Market

Weak diversification

The correlation between Energy Fund Investor and DJI is 0.35 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Energy Fund Investor and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Energy Fund Investor. 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 Energy Mutual Fund

  0.88RYEAX Energy Fund ClassPairCorr
  1.0RYECX Energy Fund ClassPairCorr

Moving against Energy Mutual Fund

  0.39RYACX Inverse Nasdaq 100PairCorr
  0.54RYCAX Consumer ProductsPairCorr
  0.54RYCIX Consumer ProductsPairCorr
  0.5RYCZX Inverse Dow 2xPairCorr
  0.46RYCPX Consumer ProductsPairCorr
  0.34RYCWX Inverse Dow 2xPairCorr

Related Correlations Analysis


Risk-Adjusted Indicators

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