Correlation Between Sun Life and UPDATE SOFTWARE
Can any of the company-specific risk be diversified away by investing in both Sun Life and UPDATE SOFTWARE 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 Sun Life and UPDATE SOFTWARE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sun Life Financial and UPDATE SOFTWARE, you can compare the effects of market volatilities on Sun Life and UPDATE SOFTWARE 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 Sun Life with a short position of UPDATE SOFTWARE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sun Life and UPDATE SOFTWARE.
Diversification Opportunities for Sun Life and UPDATE SOFTWARE
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sun and UPDATE is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Sun Life Financial and UPDATE SOFTWARE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UPDATE SOFTWARE and Sun Life 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 Sun Life Financial are associated (or correlated) with UPDATE SOFTWARE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UPDATE SOFTWARE has no effect on the direction of Sun Life i.e., Sun Life and UPDATE SOFTWARE go up and down completely randomly.
Pair Corralation between Sun Life and UPDATE SOFTWARE
Assuming the 90 days horizon Sun Life Financial is expected to generate 0.49 times more return on investment than UPDATE SOFTWARE. However, Sun Life Financial is 2.05 times less risky than UPDATE SOFTWARE. It trades about -0.08 of its potential returns per unit of risk. UPDATE SOFTWARE is currently generating about -0.12 per unit of risk. If you would invest 5,592 in Sun Life Financial on December 21, 2024 and sell it today you would lose (442.00) from holding Sun Life Financial or give up 7.9% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.33% |
Values | Daily Returns |
Sun Life Financial vs. UPDATE SOFTWARE
Performance |
Timeline |
Sun Life Financial |
UPDATE SOFTWARE |
Sun Life and UPDATE SOFTWARE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sun Life and UPDATE SOFTWARE
The main advantage of trading using opposite Sun Life and UPDATE SOFTWARE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sun Life position performs unexpectedly, UPDATE SOFTWARE 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 UPDATE SOFTWARE will offset losses from the drop in UPDATE SOFTWARE's long position.Sun Life vs. De Grey Mining | Sun Life vs. RESMINING UNSPADR10 | Sun Life vs. Sekisui Chemical Co | Sun Life vs. MINCO SILVER |
UPDATE SOFTWARE vs. Veolia Environnement SA | UPDATE SOFTWARE vs. PT Bank Maybank | UPDATE SOFTWARE vs. Mount Gibson Iron | UPDATE SOFTWARE vs. ANGANG STEEL H |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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