Correlation Between ALERION CLEANPOWER and Aluminumof China
Can any of the company-specific risk be diversified away by investing in both ALERION CLEANPOWER and Aluminumof China 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 ALERION CLEANPOWER and Aluminumof China into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ALERION CLEANPOWER and Aluminum of, you can compare the effects of market volatilities on ALERION CLEANPOWER and Aluminumof China 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 ALERION CLEANPOWER with a short position of Aluminumof China. Check out your portfolio center. Please also check ongoing floating volatility patterns of ALERION CLEANPOWER and Aluminumof China.
Diversification Opportunities for ALERION CLEANPOWER and Aluminumof China
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ALERION and Aluminumof is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding ALERION CLEANPOWER and Aluminum of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aluminumof China and ALERION CLEANPOWER 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 ALERION CLEANPOWER are associated (or correlated) with Aluminumof China. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aluminumof China has no effect on the direction of ALERION CLEANPOWER i.e., ALERION CLEANPOWER and Aluminumof China go up and down completely randomly.
Pair Corralation between ALERION CLEANPOWER and Aluminumof China
Assuming the 90 days trading horizon ALERION CLEANPOWER is expected to under-perform the Aluminumof China. In addition to that, ALERION CLEANPOWER is 1.19 times more volatile than Aluminum of. It trades about -0.06 of its total potential returns per unit of risk. Aluminum of is currently generating about 0.06 per unit of volatility. If you would invest 54.00 in Aluminum of on December 31, 2024 and sell it today you would earn a total of 5.00 from holding Aluminum of or generate 9.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ALERION CLEANPOWER vs. Aluminum of
Performance |
Timeline |
ALERION CLEANPOWER |
Aluminumof China |
ALERION CLEANPOWER and Aluminumof China Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ALERION CLEANPOWER and Aluminumof China
The main advantage of trading using opposite ALERION CLEANPOWER and Aluminumof China positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ALERION CLEANPOWER position performs unexpectedly, Aluminumof China 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 Aluminumof China will offset losses from the drop in Aluminumof China's long position.ALERION CLEANPOWER vs. JLF INVESTMENT | ALERION CLEANPOWER vs. UNIVERSAL MUSIC GROUP | ALERION CLEANPOWER vs. CSSC Offshore Marine | ALERION CLEANPOWER vs. CapitaLand Investment Limited |
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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 Transaction History module to view history of all your transactions and understand their impact on performance.
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