Correlation Between Virtus Dfa and John Hancock
Can any of the company-specific risk be diversified away by investing in both Virtus Dfa 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 Virtus Dfa and John Hancock into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Virtus Dfa 2040 and John Hancock Funds, you can compare the effects of market volatilities on Virtus Dfa 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 Virtus Dfa with a short position of John Hancock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Virtus Dfa and John Hancock.
Diversification Opportunities for Virtus Dfa and John Hancock
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Virtus and John is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Virtus Dfa 2040 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 Virtus Dfa 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 Virtus Dfa 2040 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 Virtus Dfa i.e., Virtus Dfa and John Hancock go up and down completely randomly.
Pair Corralation between Virtus Dfa and John Hancock
Assuming the 90 days horizon Virtus Dfa 2040 is expected to under-perform the John Hancock. In addition to that, Virtus Dfa is 1.59 times more volatile than John Hancock Funds. It trades about -0.02 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 1,142 in John Hancock Funds on June 8, 2025 and sell it today you would earn a total of 17.00 from holding John Hancock Funds or generate 1.49% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Virtus Dfa 2040 vs. John Hancock Funds
Performance |
| Timeline |
| Virtus Dfa 2040 |
| John Hancock Funds |
Virtus Dfa and John Hancock Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Virtus Dfa and John Hancock
The main advantage of trading using opposite Virtus Dfa and John Hancock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Virtus Dfa 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.| Virtus Dfa vs. Vanguard Multi Sector Income | Virtus Dfa vs. Virtus Multi Sector Short | Virtus Dfa vs. Ridgeworth Seix High | Virtus Dfa vs. Ridgeworth Innovative Growth |
| John Hancock vs. The Hartford High | John Hancock vs. Pace High Yield | John Hancock vs. T Rowe Price | John Hancock vs. Barings High Yield |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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