Correlation Between John Hancock and Destinations Low
Can any of the company-specific risk be diversified away by investing in both John Hancock and Destinations Low 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 Destinations Low 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 Destinations Low Duration, you can compare the effects of market volatilities on John Hancock and Destinations Low 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 Destinations Low. Check out your portfolio center. Please also check ongoing floating volatility patterns of John Hancock and Destinations Low.
Diversification Opportunities for John Hancock and Destinations Low
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between John and Destinations is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Financial and Destinations Low Duration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Destinations Low Duration 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 Destinations Low. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Destinations Low Duration has no effect on the direction of John Hancock i.e., John Hancock and Destinations Low go up and down completely randomly.
Pair Corralation between John Hancock and Destinations Low
Considering the 90-day investment horizon John Hancock Financial is expected to under-perform the Destinations Low. In addition to that, John Hancock is 6.58 times more volatile than Destinations Low Duration. It trades about -0.28 of its total potential returns per unit of risk. Destinations Low Duration is currently generating about -0.13 per unit of volatility. If you would invest 957.00 in Destinations Low Duration on October 10, 2024 and sell it today you would lose (6.00) from holding Destinations Low Duration or give up 0.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
John Hancock Financial vs. Destinations Low Duration
Performance |
Timeline |
John Hancock Financial |
Destinations Low Duration |
John Hancock and Destinations Low Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with John Hancock and Destinations Low
The main advantage of trading using opposite John Hancock and Destinations Low positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John Hancock position performs unexpectedly, Destinations Low 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 Destinations Low will offset losses from the drop in Destinations Low'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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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