Correlation Between Gmo High and Government Securities
Can any of the company-specific risk be diversified away by investing in both Gmo High and Government Securities 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 Government Securities 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 Government Securities Fund, you can compare the effects of market volatilities on Gmo High and Government Securities 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 Government Securities. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gmo High and Government Securities.
Diversification Opportunities for Gmo High and Government Securities
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Gmo and Government is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Gmo High Yield and Government Securities Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Government Securities 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 Government Securities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Government Securities has no effect on the direction of Gmo High i.e., Gmo High and Government Securities go up and down completely randomly.
Pair Corralation between Gmo High and Government Securities
Assuming the 90 days horizon Gmo High is expected to generate 1.12 times less return on investment than Government Securities. But when comparing it to its historical volatility, Gmo High Yield is 1.42 times less risky than Government Securities. It trades about 0.17 of its potential returns per unit of risk. Government Securities Fund is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 880.00 in Government Securities Fund on September 12, 2024 and sell it today you would earn a total of 6.00 from holding Government Securities Fund or generate 0.68% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Gmo High Yield vs. Government Securities Fund
Performance |
| Timeline |
| Gmo High Yield |
| Government Securities |
Gmo High and Government Securities Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Gmo High and Government Securities
The main advantage of trading using opposite Gmo High and Government Securities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gmo High position performs unexpectedly, Government Securities 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 Government Securities will offset losses from the drop in Government Securities' long position.| Gmo High vs. Artisan High Income | Gmo High vs. Blackrock High Yield | Gmo High vs. Pax High Yield | Gmo High vs. Msift High Yield |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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