Correlation Between Voya Financial and State Street
Can any of the company-specific risk be diversified away by investing in both Voya Financial 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 Voya Financial and State Street into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Voya Financial and State Street, you can compare the effects of market volatilities on Voya Financial 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 Voya Financial with a short position of State Street. Check out your portfolio center. Please also check ongoing floating volatility patterns of Voya Financial and State Street.
Diversification Opportunities for Voya Financial and State Street
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Voya and State is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Voya Financial and State Street in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on State Street and Voya Financial 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 Voya Financial 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 has no effect on the direction of Voya Financial i.e., Voya Financial and State Street go up and down completely randomly.
Pair Corralation between Voya Financial and State Street
Given the investment horizon of 90 days Voya Financial is expected to generate 4.62 times more return on investment than State Street. However, Voya Financial is 4.62 times more volatile than State Street. It trades about 0.08 of its potential returns per unit of risk. State Street is currently generating about 0.06 per unit of risk. If you would invest 7,986 in Voya Financial on September 1, 2024 and sell it today you would earn a total of 314.00 from holding Voya Financial or generate 3.93% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Voya Financial vs. State Street
Performance |
| Timeline |
| Voya Financial |
| State Street |
Voya Financial and State Street Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Voya Financial and State Street
The main advantage of trading using opposite Voya Financial and State Street positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Voya Financial 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.| Voya Financial vs. Lendingtree | Voya Financial vs. Voya Financial | Voya Financial vs. B Riley Financial | Voya Financial vs. B Riley Financial |
| State Street vs. The Gabelli Equity | State Street vs. The Gabelli Multimedia | State Street vs. The Gabelli Equity | State Street vs. Virtus AllianzGI Convertible |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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