Clean Energy Correlations
| CLNE Stock | USD 2.14 0.01 0.47% |
The current 90-days correlation between Clean Energy Fuels and LPKF Laser Electronics is -0.04 (i.e., Good 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
Average diversification
The correlation between Clean Energy Fuels and DJI is 0.16 (i.e., Average 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.
Moving together with Clean Stock
Moving against Clean Stock
| 0.72 | PREC | Prestige Cars Intern | PairCorr |
| 0.7 | CLLFF | Collins Foods Limited Earnings Call This Week | PairCorr |
| 0.57 | CDP | COPT Defense Properties | PairCorr |
| 0.55 | TVTV | WhereverTV Broadcasting | PairCorr |
| 0.45 | ACGBF | Agricultural Bank | PairCorr |
| 0.37 | GOOG | Alphabet Class C Aggressive Push | PairCorr |
Related Correlations Analysis
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
| High negative correlations
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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 Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| KWR | 1.93 | (0.13) | 0.00 | (0.02) | 0.00 | 4.49 | 14.63 | |||
| LPKFF | 0.55 | (0.21) | 0.00 | (1.07) | 0.00 | 0.00 | 8.36 | |||
| ICHMF | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| BYDIF | 2.87 | (0.13) | 0.00 | 0.15 | 0.00 | 6.98 | 22.55 | |||
| MITUY | 0.32 | (0.15) | 0.00 | (14.39) | 0.00 | 0.00 | 8.46 | |||
| MEI | 2.31 | (0.06) | (0.01) | 0.01 | 3.25 | 4.73 | 19.39 | |||
| MTLHF | 1.09 | 0.05 | 0.00 | 0.22 | 1.87 | 3.80 | 18.11 | |||
| JACO | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 |
Clean Energy Corporate Management
| Barclay Corbus | Sr. VP of Strategic Devel. | Profile | |
| James Sytsma | Corporate VP | Profile | |
| Robert Vreeland | Chief Officer | Profile | |
| Gary Foster | Senior Communications | Profile | |
| Robert CPA | Chief Officer | Profile | |
| James Harger | Sr Officer | Profile |