Correlation Between John Hancock and Catalyst/millburn
Can any of the company-specific risk be diversified away by investing in both John Hancock and Catalyst/millburn 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 Catalyst/millburn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between John Hancock Emerging and Catalystmillburn Hedge Strategy, you can compare the effects of market volatilities on John Hancock and Catalyst/millburn 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 Catalyst/millburn. Check out your portfolio center. Please also check ongoing floating volatility patterns of John Hancock and Catalyst/millburn.
Diversification Opportunities for John Hancock and Catalyst/millburn
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between John and Catalyst/millburn is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding John Hancock Emerging and Catalystmillburn Hedge Strateg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalystmillburn Hedge 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 Emerging are associated (or correlated) with Catalyst/millburn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalystmillburn Hedge has no effect on the direction of John Hancock i.e., John Hancock and Catalyst/millburn go up and down completely randomly.
Pair Corralation between John Hancock and Catalyst/millburn
Assuming the 90 days horizon John Hancock Emerging is expected to generate 1.62 times more return on investment than Catalyst/millburn. However, John Hancock is 1.62 times more volatile than Catalystmillburn Hedge Strategy. It trades about 0.0 of its potential returns per unit of risk. Catalystmillburn Hedge Strategy is currently generating about -0.04 per unit of risk. If you would invest 961.00 in John Hancock Emerging on December 25, 2024 and sell it today you would lose (2.00) from holding John Hancock Emerging or give up 0.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
John Hancock Emerging vs. Catalystmillburn Hedge Strateg
Performance |
Timeline |
John Hancock Emerging |
Catalystmillburn Hedge |
John Hancock and Catalyst/millburn Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with John Hancock and Catalyst/millburn
The main advantage of trading using opposite John Hancock and Catalyst/millburn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if John Hancock position performs unexpectedly, Catalyst/millburn 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 Catalyst/millburn will offset losses from the drop in Catalyst/millburn's long position.John Hancock vs. Energy Basic Materials | John Hancock vs. Clearbridge Energy Mlp | John Hancock vs. Thrivent Natural Resources | John Hancock vs. Invesco Energy Fund |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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