Correlation Between Grand Canyon and Clean Energy
Can any of the company-specific risk be diversified away by investing in both Grand Canyon 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 Grand Canyon and Clean Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Grand Canyon Education and Clean Energy Fuels, you can compare the effects of market volatilities on Grand Canyon 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 Grand Canyon with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Grand Canyon and Clean Energy.
Diversification Opportunities for Grand Canyon and Clean Energy
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Grand and Clean is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Grand Canyon Education 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 Grand Canyon 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 Grand Canyon Education 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 Grand Canyon i.e., Grand Canyon and Clean Energy go up and down completely randomly.
Pair Corralation between Grand Canyon and Clean Energy
Assuming the 90 days trading horizon Grand Canyon Education is expected to generate 0.43 times more return on investment than Clean Energy. However, Grand Canyon Education is 2.34 times less risky than Clean Energy. It trades about 0.08 of its potential returns per unit of risk. Clean Energy Fuels is currently generating about 0.02 per unit of risk. If you would invest 11,800 in Grand Canyon Education on October 22, 2024 and sell it today you would earn a total of 4,800 from holding Grand Canyon Education or generate 40.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Grand Canyon Education vs. Clean Energy Fuels
Performance |
Timeline |
Grand Canyon Education |
Clean Energy Fuels |
Grand Canyon and Clean Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Grand Canyon and Clean Energy
The main advantage of trading using opposite Grand Canyon and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Grand Canyon 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.Grand Canyon vs. alstria office REIT AG | Grand Canyon vs. PSI Software AG | Grand Canyon vs. WillScot Mobile Mini | Grand Canyon vs. Magic Software Enterprises |
Clean Energy vs. UNITED RENTALS | Clean Energy vs. FUYO GENERAL LEASE | Clean Energy vs. WILLIS LEASE FIN | Clean Energy vs. Ross Stores |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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