Correlation Between Data Communications and Sun Life
Can any of the company-specific risk be diversified away by investing in both Data Communications and Sun Life 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 Data Communications and Sun Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Data Communications Management and Sun Life Financial, you can compare the effects of market volatilities on Data Communications and Sun Life 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 Data Communications with a short position of Sun Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Data Communications and Sun Life.
Diversification Opportunities for Data Communications and Sun Life
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Data and Sun is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Data Communications Management and Sun Life Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sun Life Financial and Data Communications 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 Data Communications Management are associated (or correlated) with Sun Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sun Life Financial has no effect on the direction of Data Communications i.e., Data Communications and Sun Life go up and down completely randomly.
Pair Corralation between Data Communications and Sun Life
Assuming the 90 days trading horizon Data Communications Management is expected to under-perform the Sun Life. In addition to that, Data Communications is 6.98 times more volatile than Sun Life Financial. It trades about -0.06 of its total potential returns per unit of risk. Sun Life Financial is currently generating about 0.0 per unit of volatility. If you would invest 2,031 in Sun Life Financial on September 17, 2024 and sell it today you would lose (3.00) from holding Sun Life Financial or give up 0.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Data Communications Management vs. Sun Life Financial
Performance |
Timeline |
Data Communications |
Sun Life Financial |
Data Communications and Sun Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Data Communications and Sun Life
The main advantage of trading using opposite Data Communications and Sun Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Data Communications position performs unexpectedly, Sun Life 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 Sun Life will offset losses from the drop in Sun Life's long position.Data Communications vs. Flow Beverage Corp | Data Communications vs. iShares Canadian HYBrid | Data Communications vs. Altagas Cum Red | Data Communications vs. European Residential Real |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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