Correlation Between Legg Mason and State Street
Can any of the company-specific risk be diversified away by investing in both Legg Mason and State Street 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 State Street 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 State Street Smallmid, you can compare the effects of market volatilities on Legg Mason and State Street 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 State Street. Check out your portfolio center. Please also check ongoing floating volatility patterns of Legg Mason and State Street.
Diversification Opportunities for Legg Mason and State Street
0.53 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Legg and State is 0.53. Overlapping area represents the amount of risk that can be diversified away by holding Legg Mason Bw and State Street Smallmid in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on State Street Smallmid 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 State Street. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of State Street Smallmid has no effect on the direction of Legg Mason i.e., Legg Mason and State Street go up and down completely randomly.
Pair Corralation between Legg Mason and State Street
Assuming the 90 days horizon Legg Mason Bw is expected to under-perform the State Street. But the mutual fund apears to be less risky and, when comparing its historical volatility, Legg Mason Bw is 2.05 times less risky than State Street. The mutual fund trades about -0.02 of its potential returns per unit of risk. The State Street Smallmid is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 31,136 in State Street Smallmid on June 29, 2025 and sell it today you would earn a total of 2,474 from holding State Street Smallmid or generate 7.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Legg Mason Bw vs. State Street Smallmid
Performance |
Timeline |
Legg Mason Bw |
State Street Smallmid |
Legg Mason and State Street Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Legg Mason and State Street
The main advantage of trading using opposite Legg Mason and State Street positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Legg Mason position performs unexpectedly, State Street 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 State Street will offset losses from the drop in State Street's long position.Legg Mason vs. Clearbridge Aggressive Growth | Legg Mason vs. Clearbridge Small Cap | Legg Mason vs. Clearbridge Appreciation Fund | Legg Mason vs. Western Asset Managed |
State Street vs. State Street Target | State Street vs. State Street Target | State Street vs. Ssga International Stock | State Street vs. State Street Target |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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