Correlation Between Columbia Capital and John Hancock
Can any of the company-specific risk be diversified away by investing in both Columbia Capital 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 Columbia Capital and John Hancock into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Capital Allocation and John Hancock Funds, you can compare the effects of market volatilities on Columbia Capital 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 Columbia Capital with a short position of John Hancock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Capital and John Hancock.
Diversification Opportunities for Columbia Capital and John Hancock
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Columbia and John is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Capital Allocation and John Hancock Funds in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on John Hancock Funds and Columbia Capital 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 Columbia Capital Allocation 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 Funds has no effect on the direction of Columbia Capital i.e., Columbia Capital and John Hancock go up and down completely randomly.
Pair Corralation between Columbia Capital and John Hancock
Assuming the 90 days horizon Columbia Capital is expected to generate 1.2 times less return on investment than John Hancock. In addition to that, Columbia Capital is 1.03 times more volatile than John Hancock Funds. It trades about 0.19 of its total potential returns per unit of risk. John Hancock Funds is currently generating about 0.23 per unit of volatility. If you would invest 1,088 in John Hancock Funds on March 2, 2025 and sell it today you would earn a total of 22.00 from holding John Hancock Funds or generate 2.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 95.45% |
Values | Daily Returns |
Columbia Capital Allocation vs. John Hancock Funds
Performance |
Timeline |
Columbia Capital All |
John Hancock Funds |
Columbia Capital and John Hancock Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Capital and John Hancock
The main advantage of trading using opposite Columbia Capital and John Hancock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Capital 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.Columbia Capital vs. Virtus Seix Government | Columbia Capital vs. Voya Government Money | Columbia Capital vs. Intermediate Government Bond | Columbia Capital vs. Sit Government Securities |
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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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