Correlation Between Travelers Companies and SSGA Active
Can any of the company-specific risk be diversified away by investing in both Travelers Companies and SSGA Active 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 Travelers Companies and SSGA Active into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Travelers Companies and SSGA Active Trust, you can compare the effects of market volatilities on Travelers Companies and SSGA Active 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 Travelers Companies with a short position of SSGA Active. Check out your portfolio center. Please also check ongoing floating volatility patterns of Travelers Companies and SSGA Active.
Diversification Opportunities for Travelers Companies and SSGA Active
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Travelers and SSGA is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding The Travelers Companies and SSGA Active Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SSGA Active Trust and Travelers Companies 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 The Travelers Companies are associated (or correlated) with SSGA Active. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SSGA Active Trust has no effect on the direction of Travelers Companies i.e., Travelers Companies and SSGA Active go up and down completely randomly.
Pair Corralation between Travelers Companies and SSGA Active
Considering the 90-day investment horizon The Travelers Companies is expected to generate 6.84 times more return on investment than SSGA Active. However, Travelers Companies is 6.84 times more volatile than SSGA Active Trust. It trades about 0.11 of its potential returns per unit of risk. SSGA Active Trust is currently generating about 0.03 per unit of risk. If you would invest 23,889 in The Travelers Companies on December 28, 2024 and sell it today you would earn a total of 2,290 from holding The Travelers Companies or generate 9.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
The Travelers Companies vs. SSGA Active Trust
Performance |
Timeline |
The Travelers Companies |
SSGA Active Trust |
Travelers Companies and SSGA Active Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Travelers Companies and SSGA Active
The main advantage of trading using opposite Travelers Companies and SSGA Active positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Travelers Companies position performs unexpectedly, SSGA Active 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 SSGA Active will offset losses from the drop in SSGA Active's long position.Travelers Companies vs. Horace Mann Educators | Travelers Companies vs. Donegal Group A | Travelers Companies vs. Global Indemnity PLC | Travelers Companies vs. Selective Insurance Group |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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