Correlation Between Vanguard 500 and John Hancock
Can any of the company-specific risk be diversified away by investing in both Vanguard 500 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 500 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 500 Index and John Hancock Variable, you can compare the effects of market volatilities on Vanguard 500 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 500 with a short position of John Hancock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Vanguard 500 and John Hancock.
Diversification Opportunities for Vanguard 500 and John Hancock
0.97 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Vanguard and John is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Vanguard 500 Index and John Hancock Variable in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on John Hancock Variable and Vanguard 500 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 500 Index 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 Variable has no effect on the direction of Vanguard 500 i.e., Vanguard 500 and John Hancock go up and down completely randomly.
Pair Corralation between Vanguard 500 and John Hancock
Assuming the 90 days horizon Vanguard 500 Index is expected to generate 1.05 times more return on investment than John Hancock. However, Vanguard 500 is 1.05 times more volatile than John Hancock Variable. It trades about 0.08 of its potential returns per unit of risk. John Hancock Variable is currently generating about 0.08 per unit of risk. If you would invest 53,003 in Vanguard 500 Index on September 30, 2024 and sell it today you would earn a total of 2,091 from holding Vanguard 500 Index or generate 3.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Vanguard 500 Index vs. John Hancock Variable
Performance |
Timeline |
Vanguard 500 Index |
John Hancock Variable |
Vanguard 500 and John Hancock Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Vanguard 500 and John Hancock
The main advantage of trading using opposite Vanguard 500 and John Hancock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Vanguard 500 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 500 vs. Vanguard International Growth | Vanguard 500 vs. Vanguard Wellington Fund | Vanguard 500 vs. Vanguard Windsor Ii |
John Hancock vs. Vanguard Total Stock | John Hancock vs. Vanguard 500 Index | John Hancock vs. Vanguard Total Stock | John Hancock vs. Vanguard Total Stock |
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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