ENRG Elements Correlations

The correlation of ENRG Elements 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.
  
The ability to find closely correlated positions to ENRG Elements could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ENRG Elements when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back ENRG Elements - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling ENRG Elements Limited to buy it.

Moving together with ENRG Pink Sheet

  0.72CVX Chevron CorpPairCorr

Moving against ENRG Pink Sheet

  0.6AAPL Apple IncPairCorr
  0.44MSFT MicrosoftPairCorr
  0.31AA Alcoa CorpPairCorr

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   
SLILAC
MPAAGFF
LACGLATF
LACPGEZF
SYAXFGLATF
SLIGLATF
  
High negative correlations   
MPGLATF
GLATFAAGFF
MPSYAXF
MPLAC
SYAXFAAGFF
MPSLI

Risk-Adjusted Indicators

There is a big difference between ENRG Pink Sheet performing well and ENRG Elements Company 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 ENRG Elements' 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
SLGGF  4.96  0.20  0.04  0.25  5.26 
 11.25 
 29.25 
PGEZF  4.73  0.32  0.02  0.06  6.15 
 12.50 
 38.89 
AAGFF  4.22  0.46  0.09  0.94  4.45 
 10.71 
 23.59 
GLATF  4.21 (0.78) 0.00 (0.76) 0.00 
 10.71 
 42.36 
LYSDY  1.83  0.11  0.10  0.83  1.94 
 4.88 
 10.62 
LAC  2.90 (0.06) 0.00 (0.15) 0.00 
 6.73 
 18.06 
SGML  2.27  0.08  0.00 (0.01) 0.00 
 7.36 
 16.82 
SLI  3.13  0.07  0.00 (0.06) 0.00 
 7.01 
 18.40 
SYAXF  5.96 (0.25) 0.00 (0.25) 0.00 
 11.54 
 42.29 
MP  3.09  0.72  0.21  0.35  2.94 
 10.08 
 19.21 

ENRG Elements Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with ENRG Elements pink sheet to make a market-neutral strategy. Peer analysis of ENRG Elements could also be used in its relative valuation, which is a method of valuing ENRG Elements by comparing valuation metrics with similar companies.
 Risk & Return  Correlation