Correlation Between John Hancock and Dow Jones
Can any of the company-specific risk be diversified away by investing in both John Hancock and Dow Jones 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 Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between John Hancock Preferred and Dow Jones Industrial, you can compare the effects of market volatilities on John Hancock and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of John Hancock and Dow Jones.
Diversification Opportunities for John Hancock and Dow Jones
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between John and Dow is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Preferred and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Preferred are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of John Hancock i.e., John Hancock and Dow Jones go up and down completely randomly.
Pair Corralation between John Hancock and Dow Jones
Considering the 90-day investment horizon John Hancock Preferred is expected to under-perform the Dow Jones. But the etf apears to be less risky and, when comparing its historical volatility, John Hancock Preferred is 1.13 times less risky than Dow Jones. The etf trades about -0.02 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest 4,223,305 in Dow Jones Industrial on August 30, 2024 and sell it today you would earn a total of 248,901 from holding Dow Jones Industrial or generate 5.89% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.65% |
| Values | Daily Returns |
John Hancock Preferred vs. Dow Jones Industrial
Performance |
| Timeline |
John Hancock and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
John Hancock Preferred
Pair trading matchups for John Hancock
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with John Hancock and Dow Jones
The main advantage of trading using opposite John Hancock and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John Hancock position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| John Hancock vs. John Hancock Preferred | John Hancock vs. John Hancock Premium | John Hancock vs. Flaherty Crumrine Preferred | John Hancock vs. John Hancock Tax |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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