Correlation Between John Hancock and Neuberger Berman
Can any of the company-specific risk be diversified away by investing in both John Hancock and Neuberger Berman 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 Neuberger Berman 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 Neuberger Berman IMF, you can compare the effects of market volatilities on John Hancock and Neuberger Berman 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 Neuberger Berman. Check out your portfolio center. Please also check ongoing floating volatility patterns of John Hancock and Neuberger Berman.
Diversification Opportunities for John Hancock and Neuberger Berman
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between John and Neuberger is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Preferred and Neuberger Berman IMF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Neuberger Berman IMF 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 Neuberger Berman. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Neuberger Berman IMF has no effect on the direction of John Hancock i.e., John Hancock and Neuberger Berman go up and down completely randomly.
Pair Corralation between John Hancock and Neuberger Berman
Considering the 90-day investment horizon John Hancock Preferred is expected to generate 1.86 times more return on investment than Neuberger Berman. However, John Hancock is 1.86 times more volatile than Neuberger Berman IMF. It trades about 0.03 of its potential returns per unit of risk. Neuberger Berman IMF is currently generating about 0.0 per unit of risk. If you would invest 1,714 in John Hancock Preferred on August 31, 2024 and sell it today you would earn a total of 31.00 from holding John Hancock Preferred or generate 1.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
John Hancock Preferred vs. Neuberger Berman IMF
Performance |
Timeline |
John Hancock Preferred |
Neuberger Berman IMF |
John Hancock and Neuberger Berman Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with John Hancock and Neuberger Berman
The main advantage of trading using opposite John Hancock and Neuberger Berman positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John Hancock position performs unexpectedly, Neuberger Berman 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 Neuberger Berman will offset losses from the drop in Neuberger Berman's long position.John Hancock vs. John Hancock Preferred | John Hancock vs. John Hancock Preferred | John Hancock vs. John Hancock Premium | 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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