Correlation Between Mercer Funds and Mercer Non-us
Can any of the company-specific risk be diversified away by investing in both Mercer Funds and Mercer Non-us 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 Mercer Funds and Mercer Non-us into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mercer Funds and Mercer Non US Core, you can compare the effects of market volatilities on Mercer Funds and Mercer Non-us 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 Mercer Funds with a short position of Mercer Non-us. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mercer Funds and Mercer Non-us.
Diversification Opportunities for Mercer Funds and Mercer Non-us
0.02 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Mercer and Mercer is 0.02. Overlapping area represents the amount of risk that can be diversified away by holding Mercer Funds and Mercer Non US Core in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mercer Non Core and Mercer Funds 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 Mercer Funds are associated (or correlated) with Mercer Non-us. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mercer Non Core has no effect on the direction of Mercer Funds i.e., Mercer Funds and Mercer Non-us go up and down completely randomly.
Pair Corralation between Mercer Funds and Mercer Non-us
Assuming the 90 days horizon Mercer Funds is expected to generate 3.59 times less return on investment than Mercer Non-us. In addition to that, Mercer Funds is 1.42 times more volatile than Mercer Non US Core. It trades about 0.02 of its total potential returns per unit of risk. Mercer Non US Core is currently generating about 0.08 per unit of volatility. If you would invest 1,304 in Mercer Non US Core on August 17, 2025 and sell it today you would earn a total of 43.00 from holding Mercer Non US Core or generate 3.3% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 98.46% |
| Values | Daily Returns |
Mercer Funds vs. Mercer Non US Core
Performance |
| Timeline |
| Mercer Funds |
| Mercer Non Core |
Mercer Funds and Mercer Non-us Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Mercer Funds and Mercer Non-us
The main advantage of trading using opposite Mercer Funds and Mercer Non-us positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mercer Funds position performs unexpectedly, Mercer Non-us 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 Mercer Non-us will offset losses from the drop in Mercer Non-us' long position.| Mercer Funds vs. Mercer Non Core | Mercer Funds vs. Mercer Non US Core | Mercer Funds vs. Mercer Funds | Mercer Funds vs. Mercer Core Fixed |
| Mercer Non-us vs. Mercer Non Core | Mercer Non-us vs. Mercer Opportunistic Fixed | Mercer Non-us vs. Mercer Opportunistic Fixed | Mercer Non-us vs. Mercer Funds |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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