Correlation Between Sun Life and Cartier Iron
Can any of the company-specific risk be diversified away by investing in both Sun Life and Cartier Iron 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 Cartier Iron 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 Cartier Iron Corp, you can compare the effects of market volatilities on Sun Life and Cartier Iron 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 Cartier Iron. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sun Life and Cartier Iron.
Diversification Opportunities for Sun Life and Cartier Iron
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Sun and Cartier is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Sun Life Financial and Cartier Iron Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cartier Iron Corp 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 Cartier Iron. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cartier Iron Corp has no effect on the direction of Sun Life i.e., Sun Life and Cartier Iron go up and down completely randomly.
Pair Corralation between Sun Life and Cartier Iron
Considering the 90-day investment horizon Sun Life is expected to generate 46.57 times less return on investment than Cartier Iron. But when comparing it to its historical volatility, Sun Life Financial is 50.66 times less risky than Cartier Iron. It trades about 0.07 of its potential returns per unit of risk. Cartier Iron Corp is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 59.00 in Cartier Iron Corp on September 3, 2024 and sell it today you would lose (53.50) from holding Cartier Iron Corp or give up 90.68% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 99.79% |
| Values | Daily Returns |
Sun Life Financial vs. Cartier Iron Corp
Performance |
| Timeline |
| Sun Life Financial |
| Cartier Iron Corp |
Sun Life and Cartier Iron Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Sun Life and Cartier Iron
The main advantage of trading using opposite Sun Life and Cartier Iron positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sun Life position performs unexpectedly, Cartier Iron 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 Cartier Iron will offset losses from the drop in Cartier Iron's long position.| Sun Life vs. Axa Equitable Holdings | Sun Life vs. American International Group | Sun Life vs. Arch Capital Group | Sun Life vs. Old Republic International |
| Cartier Iron vs. Star Royalties | Cartier Iron vs. Defiance Silver Corp | Cartier Iron vs. Diamond Fields Resources | Cartier Iron vs. GoGold Resources |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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