Correlation Between Intermediate Term and State Street
Can any of the company-specific risk be diversified away by investing in both Intermediate Term 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 Intermediate Term and State Street into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Intermediate Term Bond Fund and State Street Target, you can compare the effects of market volatilities on Intermediate Term 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 Intermediate Term with a short position of State Street. Check out your portfolio center. Please also check ongoing floating volatility patterns of Intermediate Term and State Street.
Diversification Opportunities for Intermediate Term and State Street
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Intermediate and State is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Intermediate Term Bond Fund and State Street Target in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on State Street Target and Intermediate Term 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 Intermediate Term Bond Fund 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 Target has no effect on the direction of Intermediate Term i.e., Intermediate Term and State Street go up and down completely randomly.
Pair Corralation between Intermediate Term and State Street
Assuming the 90 days horizon Intermediate Term is expected to generate 1.49 times less return on investment than State Street. In addition to that, Intermediate Term is 1.29 times more volatile than State Street Target. It trades about 0.16 of its total potential returns per unit of risk. State Street Target is currently generating about 0.31 per unit of volatility. If you would invest 1,103 in State Street Target on May 25, 2025 and sell it today you would earn a total of 48.00 from holding State Street Target or generate 4.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Intermediate Term Bond Fund vs. State Street Target
Performance |
Timeline |
Intermediate Term Bond |
State Street Target |
Intermediate Term and State Street Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Intermediate Term and State Street
The main advantage of trading using opposite Intermediate Term and State Street positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Intermediate Term 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.Intermediate Term vs. Hartford Municipal Short | Intermediate Term vs. Nuveen Short Term | Intermediate Term vs. Aamhimco Short Duration | Intermediate Term vs. American Funds Tax Exempt |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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