Correlation Between Clean Energy and CHINA EDUCATION
Can any of the company-specific risk be diversified away by investing in both Clean Energy and CHINA EDUCATION 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 CHINA EDUCATION 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 CHINA EDUCATION GROUP, you can compare the effects of market volatilities on Clean Energy and CHINA EDUCATION 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 CHINA EDUCATION. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clean Energy and CHINA EDUCATION.
Diversification Opportunities for Clean Energy and CHINA EDUCATION
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Clean and CHINA is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Clean Energy Fuels and CHINA EDUCATION GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHINA EDUCATION GROUP 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 CHINA EDUCATION. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHINA EDUCATION GROUP has no effect on the direction of Clean Energy i.e., Clean Energy and CHINA EDUCATION go up and down completely randomly.
Pair Corralation between Clean Energy and CHINA EDUCATION
Assuming the 90 days horizon Clean Energy Fuels is expected to generate 1.03 times more return on investment than CHINA EDUCATION. However, Clean Energy is 1.03 times more volatile than CHINA EDUCATION GROUP. It trades about -0.02 of its potential returns per unit of risk. CHINA EDUCATION GROUP is currently generating about -0.21 per unit of risk. If you would invest 295.00 in Clean Energy Fuels on October 7, 2024 and sell it today you would lose (16.00) from holding Clean Energy Fuels or give up 5.42% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Clean Energy Fuels vs. CHINA EDUCATION GROUP
Performance |
Timeline |
Clean Energy Fuels |
CHINA EDUCATION GROUP |
Clean Energy and CHINA EDUCATION Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clean Energy and CHINA EDUCATION
The main advantage of trading using opposite Clean Energy and CHINA EDUCATION positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clean Energy position performs unexpectedly, CHINA EDUCATION 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 CHINA EDUCATION will offset losses from the drop in CHINA EDUCATION's long position.Clean Energy vs. BioNTech SE | Clean Energy vs. Insurance Australia Group | Clean Energy vs. PKSHA TECHNOLOGY INC | Clean Energy vs. QBE Insurance Group |
CHINA EDUCATION vs. Apple Inc | CHINA EDUCATION vs. Apple Inc | CHINA EDUCATION vs. Apple Inc | CHINA EDUCATION vs. Apple Inc |
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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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