Correlation Between CLEAN ENERGY and Townsquare Media
Can any of the company-specific risk be diversified away by investing in both CLEAN ENERGY and Townsquare Media 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 Townsquare Media 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 Townsquare Media, you can compare the effects of market volatilities on CLEAN ENERGY and Townsquare Media 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 Townsquare Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of CLEAN ENERGY and Townsquare Media.
Diversification Opportunities for CLEAN ENERGY and Townsquare Media
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CLEAN and Townsquare is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding CLEAN ENERGY FUELS and Townsquare Media in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Townsquare Media 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 Townsquare Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Townsquare Media has no effect on the direction of CLEAN ENERGY i.e., CLEAN ENERGY and Townsquare Media go up and down completely randomly.
Pair Corralation between CLEAN ENERGY and Townsquare Media
Assuming the 90 days trading horizon CLEAN ENERGY FUELS is expected to under-perform the Townsquare Media. In addition to that, CLEAN ENERGY is 2.02 times more volatile than Townsquare Media. It trades about -0.13 of its total potential returns per unit of risk. Townsquare Media is currently generating about -0.14 per unit of volatility. If you would invest 890.00 in Townsquare Media on December 22, 2024 and sell it today you would lose (165.00) from holding Townsquare Media or give up 18.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CLEAN ENERGY FUELS vs. Townsquare Media
Performance |
Timeline |
CLEAN ENERGY FUELS |
Townsquare Media |
CLEAN ENERGY and Townsquare Media Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CLEAN ENERGY and Townsquare Media
The main advantage of trading using opposite CLEAN ENERGY and Townsquare Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CLEAN ENERGY position performs unexpectedly, Townsquare Media 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 Townsquare Media will offset losses from the drop in Townsquare Media's long position.CLEAN ENERGY vs. UNIQA INSURANCE GR | CLEAN ENERGY vs. Perdoceo Education | CLEAN ENERGY vs. DeVry Education Group | CLEAN ENERGY vs. COREBRIDGE FINANCIAL INC |
Townsquare Media vs. CHINESE PEOPLE HLDG | Townsquare Media vs. Veolia Environnement SA | Townsquare Media vs. 5E ADVANCED MATERIALS | Townsquare Media vs. MONETA MONEY 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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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