Correlation Between Travelers Companies and Stone Ridge
Can any of the company-specific risk be diversified away by investing in both Travelers Companies and Stone Ridge 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 Stone Ridge 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 Stone Ridge 2051, you can compare the effects of market volatilities on Travelers Companies and Stone Ridge 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 Stone Ridge. Check out your portfolio center. Please also check ongoing floating volatility patterns of Travelers Companies and Stone Ridge.
Diversification Opportunities for Travelers Companies and Stone Ridge
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Travelers and Stone is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding The Travelers Companies and Stone Ridge 2051 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stone Ridge 2051 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 Stone Ridge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stone Ridge 2051 has no effect on the direction of Travelers Companies i.e., Travelers Companies and Stone Ridge go up and down completely randomly.
Pair Corralation between Travelers Companies and Stone Ridge
Considering the 90-day investment horizon The Travelers Companies is expected to generate 3.6 times more return on investment than Stone Ridge. However, Travelers Companies is 3.6 times more volatile than Stone Ridge 2051. It trades about 0.16 of its potential returns per unit of risk. Stone Ridge 2051 is currently generating about -0.2 per unit of risk. If you would invest 22,708 in The Travelers Companies on August 30, 2024 and sell it today you would earn a total of 3,958 from holding The Travelers Companies or generate 17.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 84.13% |
Values | Daily Returns |
The Travelers Companies vs. Stone Ridge 2051
Performance |
Timeline |
The Travelers Companies |
Stone Ridge 2051 |
Travelers Companies and Stone Ridge Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Travelers Companies and Stone Ridge
The main advantage of trading using opposite Travelers Companies and Stone Ridge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Travelers Companies position performs unexpectedly, Stone Ridge 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 Stone Ridge will offset losses from the drop in Stone Ridge's long position.Travelers Companies vs. Axa Equitable Holdings | Travelers Companies vs. American International Group | Travelers Companies vs. Arch Capital Group | Travelers Companies vs. Sun Life Financial |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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