Correlation Between Clean Energy and CVW CLEANTECH
Can any of the company-specific risk be diversified away by investing in both Clean Energy and CVW CLEANTECH 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 CVW CLEANTECH 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 CVW CLEANTECH INC, you can compare the effects of market volatilities on Clean Energy and CVW CLEANTECH 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 CVW CLEANTECH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clean Energy and CVW CLEANTECH.
Diversification Opportunities for Clean Energy and CVW CLEANTECH
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Clean and CVW is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Clean Energy Fuels and CVW CLEANTECH INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CVW CLEANTECH INC 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 CVW CLEANTECH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CVW CLEANTECH INC has no effect on the direction of Clean Energy i.e., Clean Energy and CVW CLEANTECH go up and down completely randomly.
Pair Corralation between Clean Energy and CVW CLEANTECH
Assuming the 90 days horizon Clean Energy Fuels is expected to generate 1.39 times more return on investment than CVW CLEANTECH. However, Clean Energy is 1.39 times more volatile than CVW CLEANTECH INC. It trades about 0.07 of its potential returns per unit of risk. CVW CLEANTECH INC is currently generating about 0.0 per unit of risk. If you would invest 266.00 in Clean Energy Fuels on August 31, 2024 and sell it today you would earn a total of 34.00 from holding Clean Energy Fuels or generate 12.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Clean Energy Fuels vs. CVW CLEANTECH INC
Performance |
Timeline |
Clean Energy Fuels |
CVW CLEANTECH INC |
Clean Energy and CVW CLEANTECH Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clean Energy and CVW CLEANTECH
The main advantage of trading using opposite Clean Energy and CVW CLEANTECH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clean Energy position performs unexpectedly, CVW CLEANTECH 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 CVW CLEANTECH will offset losses from the drop in CVW CLEANTECH's long position.Clean Energy vs. STORE ELECTRONIC | Clean Energy vs. Astral Foods Limited | Clean Energy vs. AUSNUTRIA DAIRY | Clean Energy vs. JJ SNACK FOODS |
CVW CLEANTECH vs. Rio Tinto Group | CVW CLEANTECH vs. Liontown Resources Limited | CVW CLEANTECH vs. American Lithium Corp | CVW CLEANTECH vs. ADRIATIC METALS LS 013355 |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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