Correlation Between American Electric and CLEAN ENERGY
Can any of the company-specific risk be diversified away by investing in both American Electric 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 American Electric and CLEAN ENERGY into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Electric Power and CLEAN ENERGY FUELS, you can compare the effects of market volatilities on American Electric 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 American Electric with a short position of CLEAN ENERGY. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Electric and CLEAN ENERGY.
Diversification Opportunities for American Electric and CLEAN ENERGY
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between American and CLEAN is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding American Electric Power 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 American Electric 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 American Electric Power 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 American Electric i.e., American Electric and CLEAN ENERGY go up and down completely randomly.
Pair Corralation between American Electric and CLEAN ENERGY
Assuming the 90 days trading horizon American Electric Power is expected to generate 0.34 times more return on investment than CLEAN ENERGY. However, American Electric Power is 2.92 times less risky than CLEAN ENERGY. It trades about 0.09 of its potential returns per unit of risk. CLEAN ENERGY FUELS is currently generating about 0.01 per unit of risk. If you would invest 6,997 in American Electric Power on October 9, 2024 and sell it today you would earn a total of 2,053 from holding American Electric Power or generate 29.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
American Electric Power vs. CLEAN ENERGY FUELS
Performance |
Timeline |
American Electric Power |
CLEAN ENERGY FUELS |
American Electric and CLEAN ENERGY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Electric and CLEAN ENERGY
The main advantage of trading using opposite American Electric and CLEAN ENERGY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Electric 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.American Electric vs. Cairo Communication SpA | American Electric vs. EEDUCATION ALBERT AB | American Electric vs. STRAYER EDUCATION | American Electric vs. Perdoceo Education |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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