United States Correlations

UNL Etf  USD 7.43  0.22  2.88%   
The current 90-days correlation between United States 12 and Sprott Physical Silver is 0.05 (i.e., Significant diversification). A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as United States moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if United States 12 moves in either direction, the perfectly negatively correlated security will move in the opposite direction.

United States Correlation With Market

Good diversification

The correlation between United States 12 and DJI is -0.06 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding United States 12 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 United States 12. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.

Moving against United Etf

  0.32TRV The Travelers Companies Fiscal Year End 17th of January 2025 PairCorr

Related Correlations Analysis

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations   
ARESOWL
NIEGAM
NIEARES
NIEOWL
SIIPSLV
NIEBGR
  
High negative correlations   
DHILPSLV
BCATPSLV

United States Constituents Risk-Adjusted Indicators

There is a big difference between United Etf performing well and United States 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 United States' 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
PSLV  1.57  0.09  0.00  1.02  1.97 
 3.18 
 9.75 
OWL  1.65  0.23  0.17  0.22  1.69 
 3.66 
 12.70 
ARES  1.28  0.15  0.11  0.22  1.39 
 2.98 
 7.35 
SII  1.49  0.10  0.02  0.33  1.82 
 4.13 
 9.61 
BGR  0.75  0.00 (0.04) 0.10  0.94 
 1.37 
 4.24 
RA  0.37  0.04 (0.10) 0.32  0.38 
 0.83 
 2.11 
DHIL  1.26 (0.06)(0.01) 0.06  1.20 
 2.22 
 9.06 
GAM  0.52  0.02 (0.01) 0.14  0.69 
 1.07 
 3.51 
NIE  0.53  0.09  0.06  0.24  0.51 
 1.44 
 4.02 
BCAT  0.44 (0.01)(0.13) 0.08  0.49 
 0.95 
 2.78