Correlation Between John Hancock and Voya Investment
Can any of the company-specific risk be diversified away by investing in both John Hancock and Voya Investment 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 Voya Investment 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 Voya Investment Grade, you can compare the effects of market volatilities on John Hancock and Voya Investment 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 Voya Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of John Hancock and Voya Investment.
Diversification Opportunities for John Hancock and Voya Investment
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between John and Voya is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Financial and Voya Investment Grade in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Voya Investment Grade 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 Voya Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Voya Investment Grade has no effect on the direction of John Hancock i.e., John Hancock and Voya Investment go up and down completely randomly.
Pair Corralation between John Hancock and Voya Investment
Considering the 90-day investment horizon John Hancock Financial is expected to under-perform the Voya Investment. In addition to that, John Hancock is 4.22 times more volatile than Voya Investment Grade. It trades about -0.02 of its total potential returns per unit of risk. Voya Investment Grade is currently generating about 0.09 per unit of volatility. If you would invest 896.00 in Voya Investment Grade on December 27, 2024 and sell it today you would earn a total of 16.00 from holding Voya Investment Grade or generate 1.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
John Hancock Financial vs. Voya Investment Grade
Performance |
Timeline |
John Hancock Financial |
Voya Investment Grade |
John Hancock and Voya Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with John Hancock and Voya Investment
The main advantage of trading using opposite John Hancock and Voya Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John Hancock position performs unexpectedly, Voya Investment 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 Voya Investment will offset losses from the drop in Voya Investment'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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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