Correlation Between John Hancock and Columbia Seligman
Can any of the company-specific risk be diversified away by investing in both John Hancock and Columbia Seligman 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 Columbia Seligman 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 Columbia Seligman Global, you can compare the effects of market volatilities on John Hancock and Columbia Seligman 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 Columbia Seligman. Check out your portfolio center. Please also check ongoing floating volatility patterns of John Hancock and Columbia Seligman.
Diversification Opportunities for John Hancock and Columbia Seligman
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between John and Columbia is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Financial and Columbia Seligman Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Seligman Global 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 Columbia Seligman. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Seligman Global has no effect on the direction of John Hancock i.e., John Hancock and Columbia Seligman go up and down completely randomly.
Pair Corralation between John Hancock and Columbia Seligman
Considering the 90-day investment horizon John Hancock Financial is expected to generate 0.82 times more return on investment than Columbia Seligman. However, John Hancock Financial is 1.22 times less risky than Columbia Seligman. It trades about 0.0 of its potential returns per unit of risk. Columbia Seligman Global is currently generating about -0.09 per unit of risk. If you would invest 3,419 in John Hancock Financial on December 28, 2024 and sell it today you would lose (15.00) from holding John Hancock Financial or give up 0.44% 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. Columbia Seligman Global
Performance |
Timeline |
John Hancock Financial |
Columbia Seligman Global |
John Hancock and Columbia Seligman Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with John Hancock and Columbia Seligman
The main advantage of trading using opposite John Hancock and Columbia Seligman positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John Hancock position performs unexpectedly, Columbia Seligman 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 Columbia Seligman will offset losses from the drop in Columbia Seligman'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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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