3EDGE Dynamic Correlations

EDGF Etf   24.69  0.05  0.20%   
The current 90-days correlation between 3EDGE Dynamic Fixed and iShares MSCI Peru is -0.01 (i.e., Good diversification). The correlation of 3EDGE Dynamic 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.

3EDGE Dynamic Correlation With Market

Very weak diversification

The correlation between 3EDGE Dynamic Fixed and DJI is 0.49 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding 3EDGE Dynamic Fixed and DJI in the same portfolio, assuming nothing else is changed.
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in 3EDGE Dynamic Fixed. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in census.

Moving together with 3EDGE Etf

  0.71BND Vanguard Total BondPairCorr
  0.75UITB VictoryShares USAA CorePairCorr
  0.62AGQ ProShares Ultra Silver TrendingPairCorr
  0.62NUGT Direxion Daily GoldPairCorr
  0.61PFE Pfizer Inc Earnings Call This WeekPairCorr

Moving against 3EDGE Etf

  0.54GBTC Grayscale Bitcoin TrustPairCorr
  0.52BTF Valkyrie Bitcoin StrategyPairCorr
  0.41NVDL GraniteShares 15x Long Aggressive PushPairCorr
  0.66HPQ HP IncPairCorr
  0.61MSFT MicrosoftPairCorr

Related Correlations Analysis


3EDGE Dynamic Constituents Risk-Adjusted Indicators

There is a big difference between 3EDGE Etf performing well and 3EDGE Dynamic ETF 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 3EDGE Dynamic'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.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
EDGH  0.72  0.27  0.26  1.54  0.51 
 1.77 
 4.54 
SPUU  1.06 (0.02) 0.00  0.04  1.62 
 2.29 
 7.03 
TAXX  0.05  0.00 (0.45) 0.35  0.00 
 0.14 
 0.61 
SIXL  0.46  0.02 (0.03) 0.22  0.57 
 1.10 
 3.41 
BVAL  0.50  0.03  0.03  0.09  0.51 
 1.12 
 2.92 
RMOP  0.13 (0.01)(0.30)(0.15) 0.17 
 0.28 
 0.84 
MGNR  1.06  0.30  0.20  0.35  1.17 
 2.17 
 6.14 
QHY  0.13  0.00 (0.23) 0.06  0.10 
 0.33 
 0.83 
TUG  0.77 (0.01)(0.02) 0.04  1.12 
 1.38 
 5.00 
EPU  1.16  0.61  0.38  6.92  0.86 
 2.53 
 5.10