Correlation Between Advent Wireless and Sun Life
Can any of the company-specific risk be diversified away by investing in both Advent Wireless 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 Advent Wireless and Sun Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Advent Wireless and Sun Life Financial, you can compare the effects of market volatilities on Advent Wireless 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 Advent Wireless with a short position of Sun Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Advent Wireless and Sun Life.
Diversification Opportunities for Advent Wireless and Sun Life
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Advent and Sun is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Advent Wireless 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 Advent Wireless 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 Advent Wireless 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 Advent Wireless i.e., Advent Wireless and Sun Life go up and down completely randomly.
Pair Corralation between Advent Wireless and Sun Life
Assuming the 90 days horizon Advent Wireless is expected to under-perform the Sun Life. In addition to that, Advent Wireless is 4.01 times more volatile than Sun Life Financial. It trades about -0.07 of its total potential returns per unit of risk. Sun Life Financial is currently generating about 0.18 per unit of volatility. If you would invest 1,944 in Sun Life Financial on April 20, 2025 and sell it today you would earn a total of 148.00 from holding Sun Life Financial or generate 7.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Advent Wireless vs. Sun Life Financial
Performance |
Timeline |
Advent Wireless |
Sun Life Financial |
Advent Wireless and Sun Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Advent Wireless and Sun Life
The main advantage of trading using opposite Advent Wireless and Sun Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Advent Wireless 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.Advent Wireless vs. Profound Medical Corp | Advent Wireless vs. Micron Technology, | Advent Wireless vs. Titan Mining Corp | Advent Wireless vs. HPQ Silicon Resources |
Sun Life vs. Advent Wireless | Sun Life vs. Waste Management, | Sun Life vs. Hill Street Beverage | Sun Life vs. Algonquin Power Utilities |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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