Correlation Between Financial Industries and State Street
Can any of the company-specific risk be diversified away by investing in both Financial Industries 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 Financial Industries and State Street into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Financial Industries Fund and State Street Income, you can compare the effects of market volatilities on Financial Industries 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 Financial Industries with a short position of State Street. Check out your portfolio center. Please also check ongoing floating volatility patterns of Financial Industries and State Street.
Diversification Opportunities for Financial Industries and State Street
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Financial and State is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Financial Industries Fund and State Street Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on State Street Income and Financial Industries 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 Financial Industries 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 Income has no effect on the direction of Financial Industries i.e., Financial Industries and State Street go up and down completely randomly.
Pair Corralation between Financial Industries and State Street
Assuming the 90 days horizon Financial Industries is expected to generate 1.45 times less return on investment than State Street. In addition to that, Financial Industries is 2.59 times more volatile than State Street Income. It trades about 0.03 of its total potential returns per unit of risk. State Street Income is currently generating about 0.13 per unit of volatility. If you would invest 960.00 in State Street Income on May 19, 2025 and sell it today you would earn a total of 26.00 from holding State Street Income or generate 2.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Financial Industries Fund vs. State Street Income
Performance |
Timeline |
Financial Industries |
State Street Income |
Financial Industries and State Street Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Financial Industries and State Street
The main advantage of trading using opposite Financial Industries and State Street positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Financial Industries 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.Financial Industries vs. Angel Oak Multi Strategy | Financial Industries vs. Nasdaq 100 2x Strategy | Financial Industries vs. Doubleline Emerging Markets | Financial Industries vs. Aqr Tm Emerging |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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