Correlation Between Travelers Companies and FT Cboe
Can any of the company-specific risk be diversified away by investing in both Travelers Companies and FT Cboe 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 FT Cboe 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 FT Cboe Vest, you can compare the effects of market volatilities on Travelers Companies and FT Cboe 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 FT Cboe. Check out your portfolio center. Please also check ongoing floating volatility patterns of Travelers Companies and FT Cboe.
Diversification Opportunities for Travelers Companies and FT Cboe
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Travelers and BGLD is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding The Travelers Companies and FT Cboe Vest in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FT Cboe Vest 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 FT Cboe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FT Cboe Vest has no effect on the direction of Travelers Companies i.e., Travelers Companies and FT Cboe go up and down completely randomly.
Pair Corralation between Travelers Companies and FT Cboe
Considering the 90-day investment horizon The Travelers Companies is expected to generate 1.22 times more return on investment than FT Cboe. However, Travelers Companies is 1.22 times more volatile than FT Cboe Vest. It trades about 0.24 of its potential returns per unit of risk. FT Cboe Vest is currently generating about -0.09 per unit of risk. If you would invest 25,009 in The Travelers Companies on August 31, 2024 and sell it today you would earn a total of 1,657 from holding The Travelers Companies or generate 6.63% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
The Travelers Companies vs. FT Cboe Vest
Performance |
| Timeline |
| The Travelers Companies |
| FT Cboe Vest |
Travelers Companies and FT Cboe Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Travelers Companies and FT Cboe
The main advantage of trading using opposite Travelers Companies and FT Cboe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Travelers Companies position performs unexpectedly, FT Cboe 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 FT Cboe will offset losses from the drop in FT Cboe's long position.| Travelers Companies vs. Progressive Corp | Travelers Companies vs. Chubb | Travelers Companies vs. The Allstate | Travelers Companies vs. Selective Insurance Group |
| FT Cboe vs. Innovator ETFs Trust | FT Cboe vs. First Trust Cboe | FT Cboe vs. FT Cboe Vest | FT Cboe vs. Innovator SP 500 |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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