Clean Energy Correlations

CLNE Stock  USD 3.32  0.06  1.84%   
The current 90-days correlation between Clean Energy Fuels and Aemetis is 0.19 (i.e., Average diversification). 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.

Clean Energy Correlation With Market

Modest diversification

The correlation between Clean Energy Fuels and DJI is 0.24 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Clean Energy Fuels and DJI in the same portfolio, assuming nothing else is changed.
  
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Clean Energy Fuels. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.

Moving together with Clean Stock

  0.64E Eni SpA ADRPairCorr

Moving against Clean Stock

  0.46PTLE PTL LTD OrdinaryPairCorr
  0.35AE Adams Resources EnergyPairCorr
  0.5EFXT EnerflexPairCorr
  0.44TS Tenaris SA ADRPairCorr

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   
VLOPBF
DINOIEP
DINOPBF
DINOAMTX
VLODINO
VLOPARR
  
High negative correlations   
DKLIEP
BDCOIEP
AMTXDKL
DINODKL
DINOBDCO
BDCOAMTX

Risk-Adjusted Indicators

There is a big difference between Clean Stock 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
VTNR  8.20  1.78  0.15 (3.30) 8.03 
 20.00 
 49.82 
IEP  1.80 (0.32) 0.00  3.25  0.00 
 3.58 
 12.73 
PBF  1.84  0.12  0.03  0.47  2.24 
 3.84 
 11.78 
DKL  0.78  0.24  0.20  1.54  0.54 
 1.86 
 4.78 
AMTX  4.58 (0.18) 0.00 (0.02) 0.00 
 8.75 
 49.06 
BDCO  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
PARR  2.06  0.24  0.03 (0.37) 2.75 
 3.73 
 15.96 
DK  2.04  0.17  0.05  0.39  2.55 
 4.28 
 13.99 
DINO  1.43 (0.10) 0.00 (0.29) 0.00 
 2.85 
 10.71 
VLO  1.36  0.09  0.01  0.42  1.58 
 2.87 
 8.22 

Clean Energy Corporate Management

Barclay CorbusSr. VP of Strategic Devel.Profile
James SytsmaCorporate VPProfile
Robert VreelandChief OfficerProfile
Gary FosterSenior CommunicationsProfile
Robert CPAChief OfficerProfile
James HargerSr OfficerProfile