Correlation Between State Street and Balanced Allocation
Can any of the company-specific risk be diversified away by investing in both State Street and Balanced Allocation 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 Balanced Allocation 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 Balanced Allocation Fund, you can compare the effects of market volatilities on State Street and Balanced Allocation 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 Balanced Allocation. Check out your portfolio center. Please also check ongoing floating volatility patterns of State Street and Balanced Allocation.
Diversification Opportunities for State Street and Balanced Allocation
1.0 | Correlation Coefficient |
No risk reduction
The 3 months correlation between State and Balanced is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding State Street Target and Balanced Allocation Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Balanced Allocation 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 Balanced Allocation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Balanced Allocation has no effect on the direction of State Street i.e., State Street and Balanced Allocation go up and down completely randomly.
Pair Corralation between State Street and Balanced Allocation
Assuming the 90 days horizon State Street Target is expected to generate 1.67 times more return on investment than Balanced Allocation. However, State Street is 1.67 times more volatile than Balanced Allocation Fund. It trades about 0.19 of its potential returns per unit of risk. Balanced Allocation Fund is currently generating about 0.19 per unit of risk. If you would invest 1,674 in State Street Target on July 29, 2025 and sell it today you would earn a total of 119.00 from holding State Street Target or generate 7.11% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
State Street Target vs. Balanced Allocation Fund
Performance |
| Timeline |
| State Street Target |
| Balanced Allocation |
State Street and Balanced Allocation Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with State Street and Balanced Allocation
The main advantage of trading using opposite State Street and Balanced Allocation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if State Street position performs unexpectedly, Balanced Allocation 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 Balanced Allocation will offset losses from the drop in Balanced Allocation's long position.| State Street vs. Balanced Allocation Fund | State Street vs. Pnc Balanced Allocation | State Street vs. Oppenheimer Global Allocation | State Street vs. Franklin Moderate Allocation |
| Balanced Allocation vs. Payden High Income | Balanced Allocation vs. Strategic Advisers Income | Balanced Allocation vs. City National Rochdale | Balanced Allocation vs. Tax Exempt High Yield |
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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