Correlation Between Siemens Energy and GREENX METALS
Can any of the company-specific risk be diversified away by investing in both Siemens Energy and GREENX METALS 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 Siemens Energy and GREENX METALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siemens Energy AG and GREENX METALS LTD, you can compare the effects of market volatilities on Siemens Energy and GREENX METALS 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 Siemens Energy with a short position of GREENX METALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siemens Energy and GREENX METALS.
Diversification Opportunities for Siemens Energy and GREENX METALS
-0.69 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Siemens and GREENX is -0.69. Overlapping area represents the amount of risk that can be diversified away by holding Siemens Energy AG and GREENX METALS LTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GREENX METALS LTD and Siemens 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 Siemens Energy AG are associated (or correlated) with GREENX METALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GREENX METALS LTD has no effect on the direction of Siemens Energy i.e., Siemens Energy and GREENX METALS go up and down completely randomly.
Pair Corralation between Siemens Energy and GREENX METALS
Assuming the 90 days trading horizon Siemens Energy AG is expected to generate 0.67 times more return on investment than GREENX METALS. However, Siemens Energy AG is 1.49 times less risky than GREENX METALS. It trades about 0.22 of its potential returns per unit of risk. GREENX METALS LTD is currently generating about 0.04 per unit of risk. If you would invest 3,546 in Siemens Energy AG on October 8, 2024 and sell it today you would earn a total of 1,652 from holding Siemens Energy AG or generate 46.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Siemens Energy AG vs. GREENX METALS LTD
Performance |
Timeline |
Siemens Energy AG |
GREENX METALS LTD |
Siemens Energy and GREENX METALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siemens Energy and GREENX METALS
The main advantage of trading using opposite Siemens Energy and GREENX METALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siemens Energy position performs unexpectedly, GREENX METALS 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 GREENX METALS will offset losses from the drop in GREENX METALS's long position.Siemens Energy vs. MAG SILVER | Siemens Energy vs. ANGLO ASIAN MINING | Siemens Energy vs. Endeavour Mining PLC | Siemens Energy vs. Hua Hong Semiconductor |
GREENX METALS vs. Superior Plus Corp | GREENX METALS vs. NMI Holdings | GREENX METALS vs. SIVERS SEMICONDUCTORS AB | GREENX METALS vs. Talanx AG |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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