Correlation Between CLEAN ENERGY and Direct Line
Can any of the company-specific risk be diversified away by investing in both CLEAN ENERGY and Direct Line 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 Direct Line 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 Direct Line Insurance, you can compare the effects of market volatilities on CLEAN ENERGY and Direct Line 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 Direct Line. Check out your portfolio center. Please also check ongoing floating volatility patterns of CLEAN ENERGY and Direct Line.
Diversification Opportunities for CLEAN ENERGY and Direct Line
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between CLEAN and Direct is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding CLEAN ENERGY FUELS and Direct Line Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Direct Line Insurance 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 Direct Line. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Direct Line Insurance has no effect on the direction of CLEAN ENERGY i.e., CLEAN ENERGY and Direct Line go up and down completely randomly.
Pair Corralation between CLEAN ENERGY and Direct Line
Assuming the 90 days trading horizon CLEAN ENERGY FUELS is expected to under-perform the Direct Line. In addition to that, CLEAN ENERGY is 4.05 times more volatile than Direct Line Insurance. It trades about -0.12 of its total potential returns per unit of risk. Direct Line Insurance is currently generating about 0.22 per unit of volatility. If you would invest 290.00 in Direct Line Insurance on December 20, 2024 and sell it today you would earn a total of 45.00 from holding Direct Line Insurance or generate 15.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CLEAN ENERGY FUELS vs. Direct Line Insurance
Performance |
Timeline |
CLEAN ENERGY FUELS |
Direct Line Insurance |
CLEAN ENERGY and Direct Line Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CLEAN ENERGY and Direct Line
The main advantage of trading using opposite CLEAN ENERGY and Direct Line positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CLEAN ENERGY position performs unexpectedly, Direct Line 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 Direct Line will offset losses from the drop in Direct Line's long position.CLEAN ENERGY vs. SBA Communications Corp | CLEAN ENERGY vs. Hellenic Telecommunications Organization | CLEAN ENERGY vs. Playtech plc | CLEAN ENERGY vs. INTERSHOP Communications Aktiengesellschaft |
Direct Line vs. Dalata Hotel Group | Direct Line vs. tokentus investment AG | Direct Line vs. Tamburi Investment Partners | Direct Line vs. InterContinental Hotels 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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