Correlation Between Clean Energy and CIFI Holdings
Can any of the company-specific risk be diversified away by investing in both Clean Energy and CIFI Holdings at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Clean Energy and CIFI Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Clean Energy Fuels and CIFI Holdings Co, you can compare the effects of market volatilities on Clean Energy and CIFI Holdings and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Clean Energy with a short position of CIFI Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clean Energy and CIFI Holdings.
Diversification Opportunities for Clean Energy and CIFI Holdings
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Clean and CIFI is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Clean Energy Fuels and CIFI Holdings Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CIFI Holdings and Clean Energy is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Clean Energy Fuels are associated (or correlated) with CIFI Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CIFI Holdings has no effect on the direction of Clean Energy i.e., Clean Energy and CIFI Holdings go up and down completely randomly.
Pair Corralation between Clean Energy and CIFI Holdings
Assuming the 90 days horizon Clean Energy Fuels is expected to under-perform the CIFI Holdings. But the stock apears to be less risky and, when comparing its historical volatility, Clean Energy Fuels is 2.95 times less risky than CIFI Holdings. The stock trades about -0.02 of its potential returns per unit of risk. The CIFI Holdings Co is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 2.65 in CIFI Holdings Co on September 26, 2024 and sell it today you would earn a total of 0.50 from holding CIFI Holdings Co or generate 18.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Clean Energy Fuels vs. CIFI Holdings Co
Performance |
Timeline |
Clean Energy Fuels |
CIFI Holdings |
Clean Energy and CIFI Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clean Energy and CIFI Holdings
The main advantage of trading using opposite Clean Energy and CIFI Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clean Energy position performs unexpectedly, CIFI Holdings can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in CIFI Holdings will offset losses from the drop in CIFI Holdings' long position.Clean Energy vs. Reliance Industries Limited | Clean Energy vs. Marathon Petroleum Corp | Clean Energy vs. Valero Energy | Clean Energy vs. NESTE OYJ UNSPADR |
CIFI Holdings vs. Granite Construction | CIFI Holdings vs. NAKED WINES PLC | CIFI Holdings vs. Carnegie Clean Energy | CIFI Holdings vs. Clean Energy Fuels |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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