Correlation Between Gabelli Global and Commodity Return
Can any of the company-specific risk be diversified away by investing in both Gabelli Global and Commodity Return 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 Gabelli Global and Commodity Return into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gabelli Global Financial and Commodity Return Strategy, you can compare the effects of market volatilities on Gabelli Global and Commodity Return 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 Gabelli Global with a short position of Commodity Return. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gabelli Global and Commodity Return.
Diversification Opportunities for Gabelli Global and Commodity Return
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Gabelli and Commodity is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Gabelli Global Financial and Commodity Return Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commodity Return Strategy and Gabelli Global 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 Gabelli Global Financial are associated (or correlated) with Commodity Return. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Commodity Return Strategy has no effect on the direction of Gabelli Global i.e., Gabelli Global and Commodity Return go up and down completely randomly.
Pair Corralation between Gabelli Global and Commodity Return
Assuming the 90 days horizon Gabelli Global Financial is expected to generate 1.07 times more return on investment than Commodity Return. However, Gabelli Global is 1.07 times more volatile than Commodity Return Strategy. It trades about 0.21 of its potential returns per unit of risk. Commodity Return Strategy is currently generating about 0.01 per unit of risk. If you would invest 1,743 in Gabelli Global Financial on May 19, 2025 and sell it today you would earn a total of 195.00 from holding Gabelli Global Financial or generate 11.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Gabelli Global Financial vs. Commodity Return Strategy
Performance |
Timeline |
Gabelli Global Financial |
Commodity Return Strategy |
Gabelli Global and Commodity Return Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gabelli Global and Commodity Return
The main advantage of trading using opposite Gabelli Global and Commodity Return positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gabelli Global position performs unexpectedly, Commodity Return 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 Commodity Return will offset losses from the drop in Commodity Return's long position.Gabelli Global vs. Guidemark Large Cap | Gabelli Global vs. Qs Large Cap | Gabelli Global vs. Dana Large Cap | Gabelli Global vs. Tax Managed Large Cap |
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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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