Correlation Between Legg Mason and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Legg Mason and Goldman Sachs 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 Legg Mason and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Legg Mason Global and Goldman Sachs Mlp, you can compare the effects of market volatilities on Legg Mason and Goldman Sachs 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 Legg Mason with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Legg Mason and Goldman Sachs.
Diversification Opportunities for Legg Mason and Goldman Sachs
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Legg and Goldman is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Legg Mason Global and Goldman Sachs Mlp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Mlp and Legg Mason 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 Legg Mason Global are associated (or correlated) with Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Mlp has no effect on the direction of Legg Mason i.e., Legg Mason and Goldman Sachs go up and down completely randomly.
Pair Corralation between Legg Mason and Goldman Sachs
Assuming the 90 days horizon Legg Mason is expected to generate 2.06 times less return on investment than Goldman Sachs. But when comparing it to its historical volatility, Legg Mason Global is 3.91 times less risky than Goldman Sachs. It trades about 0.14 of its potential returns per unit of risk. Goldman Sachs Mlp is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 3,462 in Goldman Sachs Mlp on September 12, 2024 and sell it today you would earn a total of 43.00 from holding Goldman Sachs Mlp or generate 1.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Legg Mason Global vs. Goldman Sachs Mlp
Performance |
| Timeline |
| Legg Mason Global |
| Goldman Sachs Mlp |
Legg Mason and Goldman Sachs Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Legg Mason and Goldman Sachs
The main advantage of trading using opposite Legg Mason and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Legg Mason position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.| Legg Mason vs. Ab Global Real | Legg Mason vs. Kinetics Global Fund | Legg Mason vs. Mirova Global Green | Legg Mason vs. Scharf Global Opportunity |
| Goldman Sachs vs. Oppenheimer Steelpath Mlp | Goldman Sachs vs. Oppenheimer Steelpath Mlp | Goldman Sachs vs. HUMANA INC | Goldman Sachs vs. Barloworld Ltd ADR |
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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