Correlation Between State Street and Sentinel Small
Can any of the company-specific risk be diversified away by investing in both State Street and Sentinel Small 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 Sentinel Small 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 Sentinel Small Pany, you can compare the effects of market volatilities on State Street and Sentinel Small 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 Sentinel Small. Check out your portfolio center. Please also check ongoing floating volatility patterns of State Street and Sentinel Small.
Diversification Opportunities for State Street and Sentinel Small
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between State and Sentinel is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding State Street Target and Sentinel Small Pany in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sentinel Small Pany 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 Sentinel Small. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sentinel Small Pany has no effect on the direction of State Street i.e., State Street and Sentinel Small go up and down completely randomly.
Pair Corralation between State Street and Sentinel Small
Assuming the 90 days horizon State Street is expected to generate 1.73 times less return on investment than Sentinel Small. But when comparing it to its historical volatility, State Street Target is 2.47 times less risky than Sentinel Small. It trades about 0.06 of its potential returns per unit of risk. Sentinel Small Pany is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 714.00 in Sentinel Small Pany on September 15, 2024 and sell it today you would earn a total of 19.00 from holding Sentinel Small Pany or generate 2.66% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
State Street Target vs. Sentinel Small Pany
Performance |
Timeline |
State Street Target |
Sentinel Small Pany |
State Street and Sentinel Small Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with State Street and Sentinel Small
The main advantage of trading using opposite State Street and Sentinel Small positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if State Street position performs unexpectedly, Sentinel Small 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 Sentinel Small will offset losses from the drop in Sentinel Small's long position.State Street vs. Sentinel Small Pany | State Street vs. Jhancock Diversified Macro | State Street vs. Wasatch Small Cap | State Street vs. T Rowe Price |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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