Correlation Between Guggenheim Macro and Alps/corecommodity
Can any of the company-specific risk be diversified away by investing in both Guggenheim Macro and Alps/corecommodity 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 Macro and Alps/corecommodity into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guggenheim Macro Opportunities and Alpscorecommodity Management Pletecommoditiessm, you can compare the effects of market volatilities on Guggenheim Macro and Alps/corecommodity 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 Macro with a short position of Alps/corecommodity. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guggenheim Macro and Alps/corecommodity.
Diversification Opportunities for Guggenheim Macro and Alps/corecommodity
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Guggenheim and Alps/corecommodity is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Guggenheim Macro Opportunities and Alpscorecommodity Management P in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alps/corecommodity and Guggenheim Macro 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 Macro Opportunities are associated (or correlated) with Alps/corecommodity. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alps/corecommodity has no effect on the direction of Guggenheim Macro i.e., Guggenheim Macro and Alps/corecommodity go up and down completely randomly.
Pair Corralation between Guggenheim Macro and Alps/corecommodity
Assuming the 90 days horizon Guggenheim Macro Opportunities is expected to generate 0.13 times more return on investment than Alps/corecommodity. However, Guggenheim Macro Opportunities is 7.56 times less risky than Alps/corecommodity. It trades about -0.43 of its potential returns per unit of risk. Alpscorecommodity Management Pletecommoditiessm is currently generating about -0.07 per unit of risk. If you would invest 2,482 in Guggenheim Macro Opportunities on October 12, 2024 and sell it today you would lose (19.00) from holding Guggenheim Macro Opportunities or give up 0.77% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Guggenheim Macro Opportunities vs. Alpscorecommodity Management P
Performance |
Timeline |
Guggenheim Macro Opp |
Alps/corecommodity |
Guggenheim Macro and Alps/corecommodity Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Guggenheim Macro and Alps/corecommodity
The main advantage of trading using opposite Guggenheim Macro and Alps/corecommodity positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guggenheim Macro position performs unexpectedly, Alps/corecommodity 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 Alps/corecommodity will offset losses from the drop in Alps/corecommodity's long position.Guggenheim Macro vs. Performance Trust Strategic | Guggenheim Macro vs. Guggenheim Total Return | Guggenheim Macro vs. Guggenheim Limited Duration | Guggenheim Macro vs. Guggenheim Macro Opportunities |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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