Correlation Between Baillie Gifford and John Hancock
Can any of the company-specific risk be diversified away by investing in both Baillie Gifford and John Hancock 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 Baillie Gifford and John Hancock into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Baillie Gifford Emerging and John Hancock Financial, you can compare the effects of market volatilities on Baillie Gifford and John Hancock 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 Baillie Gifford with a short position of John Hancock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Baillie Gifford and John Hancock.
Diversification Opportunities for Baillie Gifford and John Hancock
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Baillie and John is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Baillie Gifford Emerging and John Hancock Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on John Hancock Financial and Baillie Gifford 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 Baillie Gifford Emerging are associated (or correlated) with John Hancock. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of John Hancock Financial has no effect on the direction of Baillie Gifford i.e., Baillie Gifford and John Hancock go up and down completely randomly.
Pair Corralation between Baillie Gifford and John Hancock
Assuming the 90 days horizon Baillie Gifford Emerging is expected to under-perform the John Hancock. But the mutual fund apears to be less risky and, when comparing its historical volatility, Baillie Gifford Emerging is 2.11 times less risky than John Hancock. The mutual fund trades about -0.09 of its potential returns per unit of risk. The John Hancock Financial is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 3,316 in John Hancock Financial on October 24, 2024 and sell it today you would earn a total of 396.00 from holding John Hancock Financial or generate 11.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Baillie Gifford Emerging vs. John Hancock Financial
Performance |
Timeline |
Baillie Gifford Emerging |
John Hancock Financial |
Baillie Gifford and John Hancock Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Baillie Gifford and John Hancock
The main advantage of trading using opposite Baillie Gifford and John Hancock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Baillie Gifford position performs unexpectedly, John Hancock 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 John Hancock will offset losses from the drop in John Hancock's long position.Baillie Gifford vs. Locorr Dynamic Equity | Baillie Gifford vs. Qs Large Cap | Baillie Gifford vs. Ab Small Cap | Baillie Gifford vs. Small Cap Stock |
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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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