Correlation Between AURUBIS AG and Clean Energy
Can any of the company-specific risk be diversified away by investing in both AURUBIS AG 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 AURUBIS AG and Clean Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AURUBIS AG UNSPADR and Clean Energy Fuels, you can compare the effects of market volatilities on AURUBIS AG 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 AURUBIS AG with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of AURUBIS AG and Clean Energy.
Diversification Opportunities for AURUBIS AG and Clean Energy
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between AURUBIS and Clean is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding AURUBIS AG UNSPADR 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 AURUBIS AG 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 AURUBIS AG UNSPADR 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 AURUBIS AG i.e., AURUBIS AG and Clean Energy go up and down completely randomly.
Pair Corralation between AURUBIS AG and Clean Energy
Assuming the 90 days trading horizon AURUBIS AG UNSPADR is expected to under-perform the Clean Energy. But the stock apears to be less risky and, when comparing its historical volatility, AURUBIS AG UNSPADR is 1.29 times less risky than Clean Energy. The stock trades about 0.0 of its potential returns per unit of risk. The Clean Energy Fuels is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 244.00 in Clean Energy Fuels on September 27, 2024 and sell it today you would earn a total of 2.00 from holding Clean Energy Fuels or generate 0.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
AURUBIS AG UNSPADR vs. Clean Energy Fuels
Performance |
Timeline |
AURUBIS AG UNSPADR |
Clean Energy Fuels |
AURUBIS AG and Clean Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AURUBIS AG and Clean Energy
The main advantage of trading using opposite AURUBIS AG and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AURUBIS AG 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.AURUBIS AG vs. Clean Energy Fuels | AURUBIS AG vs. Computershare Limited | AURUBIS AG vs. INTERSHOP Communications Aktiengesellschaft | AURUBIS AG vs. G8 EDUCATION |
Clean Energy vs. Merit Medical Systems | Clean Energy vs. COVIVIO HOTELS INH | Clean Energy vs. MEDICAL FACILITIES NEW | Clean Energy vs. Xenia Hotels Resorts |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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