Correlation Between Gmo High and Target 2045
Can any of the company-specific risk be diversified away by investing in both Gmo High and Target 2045 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 Gmo High and Target 2045 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gmo High Yield and Target 2045 Fund, you can compare the effects of market volatilities on Gmo High and Target 2045 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 Gmo High with a short position of Target 2045. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gmo High and Target 2045.
Diversification Opportunities for Gmo High and Target 2045
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Gmo and Target is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding Gmo High Yield and Target 2045 Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Target 2045 Fund and Gmo High 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 Gmo High Yield are associated (or correlated) with Target 2045. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Target 2045 Fund has no effect on the direction of Gmo High i.e., Gmo High and Target 2045 go up and down completely randomly.
Pair Corralation between Gmo High and Target 2045
Assuming the 90 days horizon Gmo High is expected to generate 2.48 times less return on investment than Target 2045. But when comparing it to its historical volatility, Gmo High Yield is 3.14 times less risky than Target 2045. It trades about 0.29 of its potential returns per unit of risk. Target 2045 Fund is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 1,851 in Target 2045 Fund on July 8, 2025 and sell it today you would earn a total of 122.00 from holding Target 2045 Fund or generate 6.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Gmo High Yield vs. Target 2045 Fund
Performance |
Timeline |
Gmo High Yield |
Target 2045 Fund |
Gmo High and Target 2045 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gmo High and Target 2045
The main advantage of trading using opposite Gmo High and Target 2045 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gmo High position performs unexpectedly, Target 2045 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 Target 2045 will offset losses from the drop in Target 2045's long position.The idea behind Gmo High Yield and Target 2045 Fund pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Target 2045 vs. Artisan Global Opportunities | Target 2045 vs. The Hartford Global | Target 2045 vs. Dodge Global Stock | Target 2045 vs. Calvert Global Energy |
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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