Correlation Between Alfa Financial and Boston Properties
Can any of the company-specific risk be diversified away by investing in both Alfa Financial and Boston Properties 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 Boston Properties 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 Boston Properties, you can compare the effects of market volatilities on Alfa Financial and Boston Properties 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 Boston Properties. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alfa Financial and Boston Properties.
Diversification Opportunities for Alfa Financial and Boston Properties
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Alfa and Boston is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Alfa Financial Software and Boston Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boston Properties 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 Boston Properties. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Boston Properties has no effect on the direction of Alfa Financial i.e., Alfa Financial and Boston Properties go up and down completely randomly.
Pair Corralation between Alfa Financial and Boston Properties
Assuming the 90 days trading horizon Alfa Financial Software is expected to generate 0.75 times more return on investment than Boston Properties. However, Alfa Financial Software is 1.33 times less risky than Boston Properties. It trades about 0.05 of its potential returns per unit of risk. Boston Properties is currently generating about -0.05 per unit of risk. If you would invest 21,500 in Alfa Financial Software on December 22, 2024 and sell it today you would earn a total of 850.00 from holding Alfa Financial Software or generate 3.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Alfa Financial Software vs. Boston Properties
Performance |
Timeline |
Alfa Financial Software |
Boston Properties |
Alfa Financial and Boston Properties Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alfa Financial and Boston Properties
The main advantage of trading using opposite Alfa Financial and Boston Properties positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alfa Financial position performs unexpectedly, Boston Properties 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 Boston Properties will offset losses from the drop in Boston Properties' long position.Alfa Financial vs. Flutter Entertainment PLC | Alfa Financial vs. Catena Media PLC | Alfa Financial vs. Iron Mountain | Alfa Financial vs. Software Circle plc |
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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