Correlation Between Alfa Financial and Alliance Data
Can any of the company-specific risk be diversified away by investing in both Alfa Financial and Alliance Data 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 Alfa Financial and Alliance Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alfa Financial Software and Alliance Data Systems, you can compare the effects of market volatilities on Alfa Financial and Alliance Data 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 Alfa Financial with a short position of Alliance Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alfa Financial and Alliance Data.
Diversification Opportunities for Alfa Financial and Alliance Data
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Alfa and Alliance is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Alfa Financial Software and Alliance Data Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alliance Data Systems and Alfa Financial 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 Alfa Financial Software are associated (or correlated) with Alliance Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alliance Data Systems has no effect on the direction of Alfa Financial i.e., Alfa Financial and Alliance Data go up and down completely randomly.
Pair Corralation between Alfa Financial and Alliance Data
Assuming the 90 days trading horizon Alfa Financial Software is expected to generate 0.48 times more return on investment than Alliance Data. However, Alfa Financial Software is 2.08 times less risky than Alliance Data. It trades about 0.04 of its potential returns per unit of risk. Alliance Data Systems is currently generating about -0.1 per unit of risk. If you would invest 21,450 in Alfa Financial Software on December 31, 2024 and sell it today you would earn a total of 750.00 from holding Alfa Financial Software or generate 3.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 92.19% |
Values | Daily Returns |
Alfa Financial Software vs. Alliance Data Systems
Performance |
Timeline |
Alfa Financial Software |
Alliance Data Systems |
Alfa Financial and Alliance Data Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alfa Financial and Alliance Data
The main advantage of trading using opposite Alfa Financial and Alliance Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alfa Financial position performs unexpectedly, Alliance Data 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 Alliance Data will offset losses from the drop in Alliance Data's long position.Alfa Financial vs. Charter Communications Cl | Alfa Financial vs. Gamma Communications PLC | Alfa Financial vs. Norwegian Air Shuttle | Alfa Financial vs. Global Net Lease |
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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 Global Correlations module to find global opportunities by holding instruments from different markets.
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