Correlation Between Coor Service and METALL ZUG
Can any of the company-specific risk be diversified away by investing in both Coor Service and METALL ZUG 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 Coor Service and METALL ZUG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Coor Service Management and METALL ZUG AG, you can compare the effects of market volatilities on Coor Service and METALL ZUG 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 Coor Service with a short position of METALL ZUG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Coor Service and METALL ZUG.
Diversification Opportunities for Coor Service and METALL ZUG
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Coor and METALL is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Coor Service Management and METALL ZUG AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on METALL ZUG AG and Coor Service 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 Coor Service Management are associated (or correlated) with METALL ZUG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of METALL ZUG AG has no effect on the direction of Coor Service i.e., Coor Service and METALL ZUG go up and down completely randomly.
Pair Corralation between Coor Service and METALL ZUG
Assuming the 90 days trading horizon Coor Service Management is expected to generate 1.71 times more return on investment than METALL ZUG. However, Coor Service is 1.71 times more volatile than METALL ZUG AG. It trades about 0.04 of its potential returns per unit of risk. METALL ZUG AG is currently generating about 0.01 per unit of risk. If you would invest 3,442 in Coor Service Management on December 28, 2024 and sell it today you would earn a total of 155.00 from holding Coor Service Management or generate 4.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Coor Service Management vs. METALL ZUG AG
Performance |
Timeline |
Coor Service Management |
METALL ZUG AG |
Coor Service and METALL ZUG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Coor Service and METALL ZUG
The main advantage of trading using opposite Coor Service and METALL ZUG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Coor Service position performs unexpectedly, METALL ZUG 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 METALL ZUG will offset losses from the drop in METALL ZUG's long position.Coor Service vs. Samsung Electronics Co | Coor Service vs. Toyota Motor Corp | Coor Service vs. State Bank of | Coor Service vs. SoftBank Group Corp |
METALL ZUG vs. Samsung Electronics Co | METALL ZUG vs. Toyota Motor Corp | METALL ZUG vs. State Bank of | METALL ZUG vs. SoftBank Group Corp |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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