Correlation Between State Street and State Street
Can any of the company-specific risk be diversified away by investing in both State Street 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 State Street and State Street into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between State Street Target and State Street Smallmid, you can compare the effects of market volatilities on State Street 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 State Street with a short position of State Street. Check out your portfolio center. Please also check ongoing floating volatility patterns of State Street and State Street.
Diversification Opportunities for State Street and State Street
0.12 | Correlation Coefficient |
Average diversification
The 3 months correlation between State and State is 0.12. Overlapping area represents the amount of risk that can be diversified away by holding State Street Target 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 State Street 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 State Street Target 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 State Street i.e., State Street and State Street go up and down completely randomly.
Pair Corralation between State Street and State Street
Assuming the 90 days horizon State Street is expected to generate 5.87 times less return on investment than State Street. But when comparing it to its historical volatility, State Street Target is 4.56 times less risky than State Street. It trades about 0.31 of its potential returns per unit of risk. State Street Smallmid is currently generating about 0.39 of returns per unit of risk over similar time horizon. If you would invest 32,098 in State Street Smallmid on September 1, 2024 and sell it today you would earn a total of 3,764 from holding State Street Smallmid or generate 11.73% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 95.45% |
| Values | Daily Returns |
State Street Target vs. State Street Smallmid
Performance |
| Timeline |
| State Street Target |
| State Street Smallmid |
State Street and State Street Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with State Street and State Street
The main advantage of trading using opposite State Street and State Street positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if State Street 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.| State Street vs. Fidelity Income Replacement | State Street vs. Fidelity Income Replacement | State Street vs. Fidelity Income Replacement | State Street vs. Fidelity Income Replacement |
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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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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