Correlation Between Alliance Data and STRA Hannoversche
Can any of the company-specific risk be diversified away by investing in both Alliance Data and STRA Hannoversche 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 Alliance Data and STRA Hannoversche into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alliance Data Systems and STRA Hannoversche Verkehrsbetriebe, you can compare the effects of market volatilities on Alliance Data and STRA Hannoversche 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 Alliance Data with a short position of STRA Hannoversche. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alliance Data and STRA Hannoversche.
Diversification Opportunities for Alliance Data and STRA Hannoversche
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Alliance and STRA is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Alliance Data Systems and STRA Hannoversche Verkehrsbetr in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STRA Hannoversche and Alliance Data 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 Alliance Data Systems are associated (or correlated) with STRA Hannoversche. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STRA Hannoversche has no effect on the direction of Alliance Data i.e., Alliance Data and STRA Hannoversche go up and down completely randomly.
Pair Corralation between Alliance Data and STRA Hannoversche
Assuming the 90 days trading horizon Alliance Data Systems is expected to under-perform the STRA Hannoversche. In addition to that, Alliance Data is 1.25 times more volatile than STRA Hannoversche Verkehrsbetriebe. It trades about -0.08 of its total potential returns per unit of risk. STRA Hannoversche Verkehrsbetriebe is currently generating about 0.15 per unit of volatility. If you would invest 940.00 in STRA Hannoversche Verkehrsbetriebe on October 9, 2024 and sell it today you would earn a total of 30.00 from holding STRA Hannoversche Verkehrsbetriebe or generate 3.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Alliance Data Systems vs. STRA Hannoversche Verkehrsbetr
Performance |
Timeline |
Alliance Data Systems |
STRA Hannoversche |
Alliance Data and STRA Hannoversche Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alliance Data and STRA Hannoversche
The main advantage of trading using opposite Alliance Data and STRA Hannoversche positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alliance Data position performs unexpectedly, STRA Hannoversche 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 STRA Hannoversche will offset losses from the drop in STRA Hannoversche's long position.Alliance Data vs. Apple Inc | Alliance Data vs. Apple Inc | Alliance Data vs. Apple Inc | Alliance Data vs. Apple Inc |
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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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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