Correlation Between Simt Multi and John Hancock
Can any of the company-specific risk be diversified away by investing in both Simt Multi 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 Simt Multi and John Hancock into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Simt Multi Asset Inflation and John Hancock Focused, you can compare the effects of market volatilities on Simt Multi 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 Simt Multi with a short position of John Hancock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Simt Multi and John Hancock.
Diversification Opportunities for Simt Multi and John Hancock
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Simt and John is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Simt Multi Asset Inflation and John Hancock Focused in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on John Hancock Focused and Simt Multi 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 Simt Multi Asset Inflation 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 Focused has no effect on the direction of Simt Multi i.e., Simt Multi and John Hancock go up and down completely randomly.
Pair Corralation between Simt Multi and John Hancock
Assuming the 90 days horizon Simt Multi Asset Inflation is expected to under-perform the John Hancock. In addition to that, Simt Multi is 4.67 times more volatile than John Hancock Focused. It trades about -0.23 of its total potential returns per unit of risk. John Hancock Focused is currently generating about -0.38 per unit of volatility. If you would invest 308.00 in John Hancock Focused on October 11, 2024 and sell it today you would lose (4.00) from holding John Hancock Focused or give up 1.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Simt Multi Asset Inflation vs. John Hancock Focused
Performance |
Timeline |
Simt Multi Asset |
John Hancock Focused |
Simt Multi and John Hancock Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Simt Multi and John Hancock
The main advantage of trading using opposite Simt Multi and John Hancock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Simt Multi 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.Simt Multi vs. The Gabelli Healthcare | Simt Multi vs. Alphacentric Lifesci Healthcare | Simt Multi vs. Baillie Gifford Health | Simt Multi vs. Health Care Ultrasector |
John Hancock vs. Regional Bank Fund | John Hancock vs. Regional Bank Fund | John Hancock vs. Multimanager Lifestyle Moderate | John Hancock vs. Multimanager Lifestyle Balanced |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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