Correlation Between Siemens Energy and SCOTTIE RESOURCES
Can any of the company-specific risk be diversified away by investing in both Siemens Energy and SCOTTIE RESOURCES 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 SCOTTIE RESOURCES 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 SCOTTIE RESOURCES P, you can compare the effects of market volatilities on Siemens Energy and SCOTTIE RESOURCES 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 SCOTTIE RESOURCES. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siemens Energy and SCOTTIE RESOURCES.
Diversification Opportunities for Siemens Energy and SCOTTIE RESOURCES
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Siemens and SCOTTIE is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Siemens Energy AG and SCOTTIE RESOURCES P in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCOTTIE RESOURCES 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 SCOTTIE RESOURCES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCOTTIE RESOURCES has no effect on the direction of Siemens Energy i.e., Siemens Energy and SCOTTIE RESOURCES go up and down completely randomly.
Pair Corralation between Siemens Energy and SCOTTIE RESOURCES
Assuming the 90 days trading horizon Siemens Energy AG is expected to generate 0.25 times more return on investment than SCOTTIE RESOURCES. However, Siemens Energy AG is 3.95 times less risky than SCOTTIE RESOURCES. It trades about 0.23 of its potential returns per unit of risk. SCOTTIE RESOURCES P is currently generating about -0.1 per unit of risk. If you would invest 3,335 in Siemens Energy AG on September 26, 2024 and sell it today you would earn a total of 1,777 from holding Siemens Energy AG or generate 53.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Siemens Energy AG vs. SCOTTIE RESOURCES P
Performance |
Timeline |
Siemens Energy AG |
SCOTTIE RESOURCES |
Siemens Energy and SCOTTIE RESOURCES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siemens Energy and SCOTTIE RESOURCES
The main advantage of trading using opposite Siemens Energy and SCOTTIE RESOURCES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siemens Energy position performs unexpectedly, SCOTTIE RESOURCES 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 SCOTTIE RESOURCES will offset losses from the drop in SCOTTIE RESOURCES's long position.Siemens Energy vs. SIEMENS AG SP | Siemens Energy vs. Siemens Aktiengesellschaft | Siemens Energy vs. Schneider Electric SE | Siemens Energy vs. Atlas Copco A |
SCOTTIE RESOURCES vs. Fresnillo plc | SCOTTIE RESOURCES vs. NEW PACIFIC METALS | SCOTTIE RESOURCES vs. THARISA NON LIST | SCOTTIE RESOURCES vs. SYLVANIA PLAT DL |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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