Correlation Between Msvif Growth and John Hancock
Can any of the company-specific risk be diversified away by investing in both Msvif Growth 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 Msvif Growth and John Hancock into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Msvif Growth Port and John Hancock Trust, you can compare the effects of market volatilities on Msvif Growth 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 Msvif Growth with a short position of John Hancock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Msvif Growth and John Hancock.
Diversification Opportunities for Msvif Growth and John Hancock
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Msvif and John is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Msvif Growth Port and John Hancock Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on John Hancock Trust and Msvif Growth 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 Msvif Growth Port 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 Trust has no effect on the direction of Msvif Growth i.e., Msvif Growth and John Hancock go up and down completely randomly.
Pair Corralation between Msvif Growth and John Hancock
Assuming the 90 days horizon Msvif Growth Port is expected to generate 1.49 times more return on investment than John Hancock. However, Msvif Growth is 1.49 times more volatile than John Hancock Trust. It trades about 0.26 of its potential returns per unit of risk. John Hancock Trust is currently generating about -0.01 per unit of risk. If you would invest 1,520 in Msvif Growth Port on September 20, 2024 and sell it today you would earn a total of 510.00 from holding Msvif Growth Port or generate 33.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Msvif Growth Port vs. John Hancock Trust
Performance |
Timeline |
Msvif Growth Port |
John Hancock Trust |
Msvif Growth and John Hancock Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Msvif Growth and John Hancock
The main advantage of trading using opposite Msvif Growth and John Hancock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Msvif Growth 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.Msvif Growth vs. Vanguard Total Stock | Msvif Growth vs. Vanguard 500 Index | Msvif Growth vs. Vanguard Total Stock | Msvif Growth vs. Vanguard Total Stock |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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