Correlation Between John Hancock and Mesirow Financial
Can any of the company-specific risk be diversified away by investing in both John Hancock and Mesirow Financial 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 John Hancock and Mesirow Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between John Hancock Financial and Mesirow Financial Small, you can compare the effects of market volatilities on John Hancock and Mesirow Financial 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 John Hancock with a short position of Mesirow Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of John Hancock and Mesirow Financial.
Diversification Opportunities for John Hancock and Mesirow Financial
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between John and Mesirow is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Financial and Mesirow Financial Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mesirow Financial Small and John Hancock 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 John Hancock Financial are associated (or correlated) with Mesirow Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mesirow Financial Small has no effect on the direction of John Hancock i.e., John Hancock and Mesirow Financial go up and down completely randomly.
Pair Corralation between John Hancock and Mesirow Financial
Considering the 90-day investment horizon John Hancock Financial is expected to generate 0.86 times more return on investment than Mesirow Financial. However, John Hancock Financial is 1.16 times less risky than Mesirow Financial. It trades about -0.09 of its potential returns per unit of risk. Mesirow Financial Small is currently generating about -0.15 per unit of risk. If you would invest 3,854 in John Hancock Financial on December 2, 2024 and sell it today you would lose (289.00) from holding John Hancock Financial or give up 7.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
John Hancock Financial vs. Mesirow Financial Small
Performance |
Timeline |
John Hancock Financial |
Mesirow Financial Small |
John Hancock and Mesirow Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with John Hancock and Mesirow Financial
The main advantage of trading using opposite John Hancock and Mesirow Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John Hancock position performs unexpectedly, Mesirow Financial 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 Mesirow Financial will offset losses from the drop in Mesirow Financial's long position.John Hancock vs. Tekla Life Sciences | John Hancock vs. Tekla World Healthcare | John Hancock vs. Tekla Healthcare Opportunities | John Hancock vs. Royce Value Closed |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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