Correlation Between John Hancock and Jpmorgan Research
Can any of the company-specific risk be diversified away by investing in both John Hancock and Jpmorgan Research 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 Jpmorgan Research 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 Jpmorgan Research Market, you can compare the effects of market volatilities on John Hancock and Jpmorgan Research 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 Jpmorgan Research. Check out your portfolio center. Please also check ongoing floating volatility patterns of John Hancock and Jpmorgan Research.
Diversification Opportunities for John Hancock and Jpmorgan Research
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between John and Jpmorgan is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Financial and Jpmorgan Research Market in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jpmorgan Research Market 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 Jpmorgan Research. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jpmorgan Research Market has no effect on the direction of John Hancock i.e., John Hancock and Jpmorgan Research go up and down completely randomly.
Pair Corralation between John Hancock and Jpmorgan Research
Considering the 90-day investment horizon John Hancock Financial is expected to under-perform the Jpmorgan Research. In addition to that, John Hancock is 2.06 times more volatile than Jpmorgan Research Market. It trades about -0.22 of its total potential returns per unit of risk. Jpmorgan Research Market is currently generating about -0.32 per unit of volatility. If you would invest 1,643 in Jpmorgan Research Market on October 5, 2024 and sell it today you would lose (82.00) from holding Jpmorgan Research Market or give up 4.99% 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. Jpmorgan Research Market
Performance |
Timeline |
John Hancock Financial |
Jpmorgan Research Market |
John Hancock and Jpmorgan Research Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with John Hancock and Jpmorgan Research
The main advantage of trading using opposite John Hancock and Jpmorgan Research positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John Hancock position performs unexpectedly, Jpmorgan Research 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 Jpmorgan Research will offset losses from the drop in Jpmorgan Research'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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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