Correlation Between Sun Life and Zoomlion Heavy
Can any of the company-specific risk be diversified away by investing in both Sun Life and Zoomlion Heavy 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 Zoomlion Heavy 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 Zoomlion Heavy Industry, you can compare the effects of market volatilities on Sun Life and Zoomlion Heavy 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 Zoomlion Heavy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sun Life and Zoomlion Heavy.
Diversification Opportunities for Sun Life and Zoomlion Heavy
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Sun and Zoomlion is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Sun Life Financial and Zoomlion Heavy Industry in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zoomlion Heavy Industry 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 Zoomlion Heavy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zoomlion Heavy Industry has no effect on the direction of Sun Life i.e., Sun Life and Zoomlion Heavy go up and down completely randomly.
Pair Corralation between Sun Life and Zoomlion Heavy
Considering the 90-day investment horizon Sun Life is expected to generate 3.91 times less return on investment than Zoomlion Heavy. But when comparing it to its historical volatility, Sun Life Financial is 3.15 times less risky than Zoomlion Heavy. It trades about 0.09 of its potential returns per unit of risk. Zoomlion Heavy Industry is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 51.00 in Zoomlion Heavy Industry on September 2, 2024 and sell it today you would earn a total of 22.00 from holding Zoomlion Heavy Industry or generate 43.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 43.15% |
Values | Daily Returns |
Sun Life Financial vs. Zoomlion Heavy Industry
Performance |
Timeline |
Sun Life Financial |
Zoomlion Heavy Industry |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Sun Life and Zoomlion Heavy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sun Life and Zoomlion Heavy
The main advantage of trading using opposite Sun Life and Zoomlion Heavy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sun Life position performs unexpectedly, Zoomlion Heavy 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 Zoomlion Heavy will offset losses from the drop in Zoomlion Heavy'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 |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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