Correlation Between Gamco Global and Legg Mason
Can any of the company-specific risk be diversified away by investing in both Gamco Global and Legg Mason 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 Gamco Global and Legg Mason into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gamco Global Gold and Legg Mason Partners, you can compare the effects of market volatilities on Gamco Global and Legg Mason 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 Gamco Global with a short position of Legg Mason. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gamco Global and Legg Mason.
Diversification Opportunities for Gamco Global and Legg Mason
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Gamco and Legg is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Gamco Global Gold and Legg Mason Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Legg Mason Partners and Gamco 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 Gamco Global Gold are associated (or correlated) with Legg Mason. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Legg Mason Partners has no effect on the direction of Gamco Global i.e., Gamco Global and Legg Mason go up and down completely randomly.
Pair Corralation between Gamco Global and Legg Mason
Assuming the 90 days horizon Gamco Global is expected to generate 4.33 times less return on investment than Legg Mason. In addition to that, Gamco Global is 1.21 times more volatile than Legg Mason Partners. It trades about 0.02 of its total potential returns per unit of risk. Legg Mason Partners is currently generating about 0.11 per unit of volatility. If you would invest 1,124 in Legg Mason Partners on September 14, 2024 and sell it today you would earn a total of 497.00 from holding Legg Mason Partners or generate 44.22% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Gamco Global Gold vs. Legg Mason Partners
Performance |
| Timeline |
| Gamco Global Gold |
| Legg Mason Partners |
Gamco Global and Legg Mason Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Gamco Global and Legg Mason
The main advantage of trading using opposite Gamco Global and Legg Mason positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gamco Global position performs unexpectedly, Legg Mason 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 Legg Mason will offset losses from the drop in Legg Mason's long position.| Gamco Global vs. Ab Global Bond | Gamco Global vs. Morningstar Global Income | Gamco Global vs. Mirova Global Green | Gamco Global vs. Jhancock Global Equity |
| Legg Mason vs. Gabelli Gold Fund | Legg Mason vs. Gamco Global Gold | Legg Mason vs. Global Gold Fund | Legg Mason vs. Fidelity Advisor Gold |
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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