Correlation Between Clean Energy and ALERION CLEANPOWER
Can any of the company-specific risk be diversified away by investing in both Clean Energy and ALERION CLEANPOWER 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 ALERION CLEANPOWER 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 ALERION CLEANPOWER, you can compare the effects of market volatilities on Clean Energy and ALERION CLEANPOWER 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 ALERION CLEANPOWER. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clean Energy and ALERION CLEANPOWER.
Diversification Opportunities for Clean Energy and ALERION CLEANPOWER
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Clean and ALERION is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Clean Energy Fuels and ALERION CLEANPOWER in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ALERION CLEANPOWER 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 ALERION CLEANPOWER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ALERION CLEANPOWER has no effect on the direction of Clean Energy i.e., Clean Energy and ALERION CLEANPOWER go up and down completely randomly.
Pair Corralation between Clean Energy and ALERION CLEANPOWER
Assuming the 90 days horizon Clean Energy Fuels is expected to generate 2.43 times more return on investment than ALERION CLEANPOWER. However, Clean Energy is 2.43 times more volatile than ALERION CLEANPOWER. It trades about 0.16 of its potential returns per unit of risk. ALERION CLEANPOWER is currently generating about -0.13 per unit of risk. If you would invest 246.00 in Clean Energy Fuels on October 20, 2024 and sell it today you would earn a total of 24.00 from holding Clean Energy Fuels or generate 9.76% 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. ALERION CLEANPOWER
Performance |
Timeline |
Clean Energy Fuels |
ALERION CLEANPOWER |
Clean Energy and ALERION CLEANPOWER Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clean Energy and ALERION CLEANPOWER
The main advantage of trading using opposite Clean Energy and ALERION CLEANPOWER positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clean Energy position performs unexpectedly, ALERION CLEANPOWER 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 ALERION CLEANPOWER will offset losses from the drop in ALERION CLEANPOWER's long position.Clean Energy vs. Neinor Homes SA | Clean Energy vs. 24SEVENOFFICE GROUP AB | Clean Energy vs. ENVVENO MEDICAL DL 00001 | Clean Energy vs. Diamyd Medical AB |
ALERION CLEANPOWER vs. Eurasia Mining Plc | ALERION CLEANPOWER vs. United Insurance Holdings | ALERION CLEANPOWER vs. Ameriprise Financial | ALERION CLEANPOWER vs. CHIBA BANK |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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