Correlation Between Sun Life and Singapore ReinsuranceLimit
Can any of the company-specific risk be diversified away by investing in both Sun Life and Singapore ReinsuranceLimit 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 Singapore ReinsuranceLimit 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 Singapore Reinsurance, you can compare the effects of market volatilities on Sun Life and Singapore ReinsuranceLimit 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 Singapore ReinsuranceLimit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sun Life and Singapore ReinsuranceLimit.
Diversification Opportunities for Sun Life and Singapore ReinsuranceLimit
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Sun and Singapore is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Sun Life Financial and Singapore Reinsurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Singapore ReinsuranceLimit 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 Singapore ReinsuranceLimit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Singapore ReinsuranceLimit has no effect on the direction of Sun Life i.e., Sun Life and Singapore ReinsuranceLimit go up and down completely randomly.
Pair Corralation between Sun Life and Singapore ReinsuranceLimit
Assuming the 90 days horizon Sun Life Financial is expected to generate 0.56 times more return on investment than Singapore ReinsuranceLimit. However, Sun Life Financial is 1.78 times less risky than Singapore ReinsuranceLimit. It trades about 0.17 of its potential returns per unit of risk. Singapore Reinsurance is currently generating about 0.02 per unit of risk. If you would invest 5,372 in Sun Life Financial on October 7, 2024 and sell it today you would earn a total of 328.00 from holding Sun Life Financial or generate 6.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sun Life Financial vs. Singapore Reinsurance
Performance |
Timeline |
Sun Life Financial |
Singapore ReinsuranceLimit |
Sun Life and Singapore ReinsuranceLimit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sun Life and Singapore ReinsuranceLimit
The main advantage of trading using opposite Sun Life and Singapore ReinsuranceLimit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sun Life position performs unexpectedly, Singapore ReinsuranceLimit 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 Singapore ReinsuranceLimit will offset losses from the drop in Singapore ReinsuranceLimit's long position.Sun Life vs. TERADATA | Sun Life vs. Bausch Health Companies | Sun Life vs. RYMAN HEALTHCAR | Sun Life vs. Siemens Healthineers AG |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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