Correlation Between John Hancock and Eaton Vance
Can any of the company-specific risk be diversified away by investing in both John Hancock and Eaton Vance 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 Eaton Vance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between John Hancock Premium and Eaton Vance Tax, you can compare the effects of market volatilities on John Hancock and Eaton Vance 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 Eaton Vance. Check out your portfolio center. Please also check ongoing floating volatility patterns of John Hancock and Eaton Vance.
Diversification Opportunities for John Hancock and Eaton Vance
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between John and Eaton is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Premium and Eaton Vance Tax in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eaton Vance Tax 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 Premium are associated (or correlated) with Eaton Vance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eaton Vance Tax has no effect on the direction of John Hancock i.e., John Hancock and Eaton Vance go up and down completely randomly.
Pair Corralation between John Hancock and Eaton Vance
Considering the 90-day investment horizon John Hancock Premium is expected to generate 1.12 times more return on investment than Eaton Vance. However, John Hancock is 1.12 times more volatile than Eaton Vance Tax. It trades about 0.15 of its potential returns per unit of risk. Eaton Vance Tax is currently generating about -0.01 per unit of risk. If you would invest 1,272 in John Hancock Premium on November 29, 2024 and sell it today you would earn a total of 21.00 from holding John Hancock Premium or generate 1.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
John Hancock Premium vs. Eaton Vance Tax
Performance |
Timeline |
John Hancock Premium |
Eaton Vance Tax |
John Hancock and Eaton Vance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with John Hancock and Eaton Vance
The main advantage of trading using opposite John Hancock and Eaton Vance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John Hancock position performs unexpectedly, Eaton Vance 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 Eaton Vance will offset losses from the drop in Eaton Vance's long position.John Hancock vs. John Hancock Preferred | John Hancock vs. Eaton Vance Tax | John Hancock vs. John Hancock Preferred | John Hancock vs. John Hancock Preferred |
Eaton Vance vs. Eaton Vance Risk | Eaton Vance vs. Blackrock Muniholdings Closed | Eaton Vance vs. DTF Tax Free | Eaton Vance vs. Eaton Vance Floating |
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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