Clean Energy Correlations

CPWY Stock  USD 0.0001  0.00  0.00%   
The correlation of Clean Energy 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.
  
The ability to find closely correlated positions to Clean Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Clean Energy 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 Clean Energy - 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 Clean Energy Pathway to buy it.

Moving together with Clean Pink Sheet

  1.0ISRMF iShares MSCIPairCorr

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   
JBLGLW
JBLVICR
MMATWBX
VICROUST
GLWVICR
KULRKOPN
  
High negative correlations   
MMATVICR
WBXOUST
WBXVICR
GLWWBX
GLWMMAT
JBLWBX

Risk-Adjusted Indicators

There is a big difference between Clean Pink Sheet performing well and Clean Energy 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 Clean Energy'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
OUST  3.86  0.50  0.20  0.27  3.32 
 8.47 
 39.43 
KOPN  4.01  0.62  0.07  1.61  6.94 
 9.72 
 43.13 
VICR  2.71  0.51  0.22  0.36  2.17 
 8.87 
 21.20 
FN  2.40 (0.01) 0.03  0.11  3.02 
 4.68 
 16.19 
NEON  5.44  0.28  0.05  0.33  6.24 
 12.59 
 52.74 
WBX  3.42 (1.18) 0.00 (0.59) 0.00 
 8.26 
 23.81 
MMAT  16.33  0.38  0.02  0.23  23.14 
 30.43 
 311.31 
GLW  1.04  0.15  0.11  0.27  1.10 
 2.02 
 7.57 
KULR  8.11  2.87  0.39  0.91  5.46 
 21.55 
 93.54 
JBL  1.28  0.22  0.26  0.26  0.77 
 2.80 
 15.06 

Be your own money manager

Our tools can tell you how much better you can do entering a position in Clean Energy without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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