Correlation Between Blackrock Mid-cap and John Hancock
Can any of the company-specific risk be diversified away by investing in both Blackrock Mid-cap 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 Blackrock Mid-cap and John Hancock into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Blackrock Mid Cap Growth and John Hancock Bond, you can compare the effects of market volatilities on Blackrock Mid-cap 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 Blackrock Mid-cap with a short position of John Hancock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Blackrock Mid-cap and John Hancock.
Diversification Opportunities for Blackrock Mid-cap and John Hancock
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Blackrock and John is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Blackrock Mid Cap Growth and John Hancock Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on John Hancock Bond and Blackrock Mid-cap 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 Blackrock Mid Cap Growth 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 Bond has no effect on the direction of Blackrock Mid-cap i.e., Blackrock Mid-cap and John Hancock go up and down completely randomly.
Pair Corralation between Blackrock Mid-cap and John Hancock
Assuming the 90 days horizon Blackrock Mid Cap Growth is expected to generate 3.41 times more return on investment than John Hancock. However, Blackrock Mid-cap is 3.41 times more volatile than John Hancock Bond. It trades about 0.48 of its potential returns per unit of risk. John Hancock Bond is currently generating about 0.18 per unit of risk. If you would invest 4,114 in Blackrock Mid Cap Growth on September 2, 2024 and sell it today you would earn a total of 531.00 from holding Blackrock Mid Cap Growth or generate 12.91% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Blackrock Mid Cap Growth vs. John Hancock Bond
Performance |
| Timeline |
| Blackrock Mid Cap |
| John Hancock Bond |
Blackrock Mid-cap and John Hancock Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Blackrock Mid-cap and John Hancock
The main advantage of trading using opposite Blackrock Mid-cap and John Hancock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Blackrock Mid-cap 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.| Blackrock Mid-cap vs. Blackrock Health Sciences | Blackrock Mid-cap vs. Blackrock Science Technology | Blackrock Mid-cap vs. Blackrock Science Technology |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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