Correlation Between Cohen Steers and John Hancock
Can any of the company-specific risk be diversified away by investing in both Cohen Steers and John Hancock 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 Cohen Steers and John Hancock into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cohen Steers Total and John Hancock Income, you can compare the effects of market volatilities on Cohen Steers and John Hancock 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 Cohen Steers with a short position of John Hancock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cohen Steers and John Hancock.
Diversification Opportunities for Cohen Steers and John Hancock
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Cohen and John is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Cohen Steers Total and John Hancock Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on John Hancock Income and Cohen Steers 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 Cohen Steers Total are associated (or correlated) with John Hancock. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of John Hancock Income has no effect on the direction of Cohen Steers i.e., Cohen Steers and John Hancock go up and down completely randomly.
Pair Corralation between Cohen Steers and John Hancock
Considering the 90-day investment horizon Cohen Steers Total is expected to generate 1.87 times more return on investment than John Hancock. However, Cohen Steers is 1.87 times more volatile than John Hancock Income. It trades about 0.04 of its potential returns per unit of risk. John Hancock Income is currently generating about 0.04 per unit of risk. If you would invest 1,057 in Cohen Steers Total on September 3, 2024 and sell it today you would earn a total of 259.00 from holding Cohen Steers Total or generate 24.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Cohen Steers Total vs. John Hancock Income
Performance |
| Timeline |
| Cohen Steers Total |
| John Hancock Income |
Cohen Steers and John Hancock Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Cohen Steers and John Hancock
The main advantage of trading using opposite Cohen Steers and John Hancock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cohen Steers position performs unexpectedly, John Hancock 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 John Hancock will offset losses from the drop in John Hancock's long position.| Cohen Steers vs. Tekla Healthcare Investors | Cohen Steers vs. Tekla Life Sciences | Cohen Steers vs. Cohen Steers Reit | Cohen Steers vs. XAI Octagon Floating |
| John Hancock vs. MFS High Income | John Hancock vs. MFS Investment Grade | John Hancock vs. Blackrock Muniholdings Closed | John Hancock vs. Eaton Vance National |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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