Correlation Between CDL INVESTMENT and Clean Energy
Can any of the company-specific risk be diversified away by investing in both CDL INVESTMENT and Clean Energy 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 CDL INVESTMENT and Clean Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CDL INVESTMENT and Clean Energy Fuels, you can compare the effects of market volatilities on CDL INVESTMENT and Clean Energy 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 CDL INVESTMENT with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of CDL INVESTMENT and Clean Energy.
Diversification Opportunities for CDL INVESTMENT and Clean Energy
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between CDL and Clean is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding CDL INVESTMENT and Clean Energy Fuels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Energy Fuels and CDL INVESTMENT 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 CDL INVESTMENT are associated (or correlated) with Clean Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Energy Fuels has no effect on the direction of CDL INVESTMENT i.e., CDL INVESTMENT and Clean Energy go up and down completely randomly.
Pair Corralation between CDL INVESTMENT and Clean Energy
Assuming the 90 days trading horizon CDL INVESTMENT is expected to generate 1.63 times less return on investment than Clean Energy. But when comparing it to its historical volatility, CDL INVESTMENT is 2.18 times less risky than Clean Energy. It trades about 0.05 of its potential returns per unit of risk. Clean Energy Fuels is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 267.00 in Clean Energy Fuels on October 7, 2024 and sell it today you would earn a total of 12.00 from holding Clean Energy Fuels or generate 4.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CDL INVESTMENT vs. Clean Energy Fuels
Performance |
Timeline |
CDL INVESTMENT |
Clean Energy Fuels |
CDL INVESTMENT and Clean Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CDL INVESTMENT and Clean Energy
The main advantage of trading using opposite CDL INVESTMENT and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CDL INVESTMENT position performs unexpectedly, Clean Energy 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 Clean Energy will offset losses from the drop in Clean Energy's long position.CDL INVESTMENT vs. Apple Inc | CDL INVESTMENT vs. Apple Inc | CDL INVESTMENT vs. Apple Inc | CDL INVESTMENT vs. Apple Inc |
Clean Energy vs. Ebro Foods SA | Clean Energy vs. Astral Foods Limited | Clean Energy vs. PLANT VEDA FOODS | Clean Energy vs. Performance Food Group |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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