Correlation Between John Hancock and Strategic Income
Can any of the company-specific risk be diversified away by investing in both John Hancock and Strategic Income 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 Strategic Income into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between John Hancock Global and Strategic Income Opportunities, you can compare the effects of market volatilities on John Hancock and Strategic Income 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 Strategic Income. Check out your portfolio center. Please also check ongoing floating volatility patterns of John Hancock and Strategic Income.
Diversification Opportunities for John Hancock and Strategic Income
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between John and Strategic is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Global and Strategic Income Opportunities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Strategic Income Opp 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 Global are associated (or correlated) with Strategic Income. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Strategic Income Opp has no effect on the direction of John Hancock i.e., John Hancock and Strategic Income go up and down completely randomly.
Pair Corralation between John Hancock and Strategic Income
Assuming the 90 days horizon John Hancock Global is expected to generate 4.42 times more return on investment than Strategic Income. However, John Hancock is 4.42 times more volatile than Strategic Income Opportunities. It trades about 0.12 of its potential returns per unit of risk. Strategic Income Opportunities is currently generating about 0.11 per unit of risk. If you would invest 1,133 in John Hancock Global on December 30, 2024 and sell it today you would earn a total of 55.00 from holding John Hancock Global or generate 4.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
John Hancock Global vs. Strategic Income Opportunities
Performance |
Timeline |
John Hancock Global |
Strategic Income Opp |
John Hancock and Strategic Income Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with John Hancock and Strategic Income
The main advantage of trading using opposite John Hancock and Strategic Income positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John Hancock position performs unexpectedly, Strategic Income 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 Strategic Income will offset losses from the drop in Strategic Income's long position.John Hancock vs. Old Westbury Small | John Hancock vs. Transamerica International Small | John Hancock vs. United Kingdom Small | John Hancock vs. Cardinal Small Cap |
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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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