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 Bw and Goldman Sachs Large, 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
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Legg and Goldman is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Legg Mason Bw and Goldman Sachs Large in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Large 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 Bw 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 Large 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 Bw is expected to generate 1.16 times more return on investment than Goldman Sachs. However, Legg Mason is 1.16 times more volatile than Goldman Sachs Large. It trades about 0.16 of its potential returns per unit of risk. Goldman Sachs Large is currently generating about 0.16 per unit of risk. If you would invest 2,050 in Legg Mason Bw on September 1, 2024 and sell it today you would earn a total of 338.00 from holding Legg Mason Bw or generate 16.49% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Legg Mason Bw vs. Goldman Sachs Large
Performance |
| Timeline |
| Legg Mason Bw |
| Goldman Sachs Large |
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. Rbb Fund | Legg Mason vs. Aam Select Income | Legg Mason vs. Scharf Global Opportunity | Legg Mason vs. Falcon Focus Scv |
| Goldman Sachs vs. Blue Current Global | Goldman Sachs vs. Mirova Global Green | Goldman Sachs vs. Us Global Leaders | Goldman Sachs vs. Morgan Stanley Global |
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 Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Other Complementary Tools
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |