Correlation Between Guggenheim Managed and Government Long
Can any of the company-specific risk be diversified away by investing in both Guggenheim Managed and Government Long 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 Guggenheim Managed and Government Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guggenheim Managed Futures and Government Long Bond, you can compare the effects of market volatilities on Guggenheim Managed and Government Long 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 Guggenheim Managed with a short position of Government Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guggenheim Managed and Government Long.
Diversification Opportunities for Guggenheim Managed and Government Long
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Guggenheim and Government is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Guggenheim Managed Futures and Government Long Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Government Long Bond and Guggenheim Managed 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 Guggenheim Managed Futures are associated (or correlated) with Government Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Government Long Bond has no effect on the direction of Guggenheim Managed i.e., Guggenheim Managed and Government Long go up and down completely randomly.
Pair Corralation between Guggenheim Managed and Government Long
Assuming the 90 days horizon Guggenheim Managed Futures is expected to generate 0.49 times more return on investment than Government Long. However, Guggenheim Managed Futures is 2.03 times less risky than Government Long. It trades about 0.11 of its potential returns per unit of risk. Government Long Bond is currently generating about -0.09 per unit of risk. If you would invest 1,973 in Guggenheim Managed Futures on October 22, 2024 and sell it today you would earn a total of 67.00 from holding Guggenheim Managed Futures or generate 3.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Guggenheim Managed Futures vs. Government Long Bond
Performance |
Timeline |
Guggenheim Managed |
Government Long Bond |
Guggenheim Managed and Government Long Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guggenheim Managed and Government Long
The main advantage of trading using opposite Guggenheim Managed and Government Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guggenheim Managed position performs unexpectedly, Government Long 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 Long will offset losses from the drop in Government Long's long position.Guggenheim Managed vs. Asg Managed Futures | Guggenheim Managed vs. Nationwide Inflation Protected Securities | Guggenheim Managed vs. Ab Bond Inflation | Guggenheim Managed vs. Western Asset Inflation |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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