Correlation Between Vanguard and John Hancock
Can any of the company-specific risk be diversified away by investing in both Vanguard 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 Vanguard and John Hancock into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Vanguard SP Small Cap and John Hancock Multifactor, you can compare the effects of market volatilities on Vanguard 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 Vanguard with a short position of John Hancock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vanguard and John Hancock.
Diversification Opportunities for Vanguard and John Hancock
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Vanguard and John is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Vanguard SP Small Cap and John Hancock Multifactor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on John Hancock Multifactor and Vanguard 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 Vanguard SP Small Cap 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 Multifactor has no effect on the direction of Vanguard i.e., Vanguard and John Hancock go up and down completely randomly.
Pair Corralation between Vanguard and John Hancock
Given the investment horizon of 90 days Vanguard SP Small Cap is expected to under-perform the John Hancock. In addition to that, Vanguard is 1.13 times more volatile than John Hancock Multifactor. It trades about -0.02 of its total potential returns per unit of risk. John Hancock Multifactor is currently generating about -0.01 per unit of volatility. If you would invest 4,028 in John Hancock Multifactor on October 12, 2024 and sell it today you would lose (37.00) from holding John Hancock Multifactor or give up 0.92% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.39% |
Values | Daily Returns |
Vanguard SP Small Cap vs. John Hancock Multifactor
Performance |
Timeline |
Vanguard SP Small |
John Hancock Multifactor |
Vanguard and John Hancock Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vanguard and John Hancock
The main advantage of trading using opposite Vanguard and John Hancock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vanguard 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.Vanguard vs. Vanguard SP Mid Cap | Vanguard vs. Vanguard SP Small Cap | Vanguard vs. Vanguard SP Small Cap | Vanguard vs. Vanguard Russell 2000 |
John Hancock vs. John Hancock Multifactor | John Hancock vs. John Hancock Multifactor | John Hancock vs. John Hancock Multifactor | John Hancock vs. JPMorgan Diversified Return |
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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