Correlation Between First Trust and FT Cboe
Can any of the company-specific risk be diversified away by investing in both First Trust 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 First Trust and FT Cboe into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Exchange Traded and FT Cboe Vest, you can compare the effects of market volatilities on First Trust 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 First Trust with a short position of FT Cboe. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and FT Cboe.
Diversification Opportunities for First Trust and FT Cboe
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between First and BUFD is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Exchange Traded 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 First Trust 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 First Trust Exchange Traded 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 First Trust i.e., First Trust and FT Cboe go up and down completely randomly.
Pair Corralation between First Trust and FT Cboe
Given the investment horizon of 90 days First Trust Exchange Traded is expected to generate 0.53 times more return on investment than FT Cboe. However, First Trust Exchange Traded is 1.89 times less risky than FT Cboe. It trades about 0.21 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 4,494 in First Trust Exchange Traded on September 23, 2024 and sell it today you would earn a total of 78.00 from holding First Trust Exchange Traded or generate 1.74% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
First Trust Exchange Traded vs. FT Cboe Vest
Performance |
| Timeline |
| First Trust Exchange |
| FT Cboe Vest |
First Trust and FT Cboe Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with First Trust and FT Cboe
The main advantage of trading using opposite First Trust and FT Cboe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust 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.The idea behind First Trust Exchange Traded and FT Cboe Vest pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| FT Cboe vs. First Trust Exchange Traded | FT Cboe vs. First Trust Exchange Traded | FT Cboe vs. FT Cboe Vest | FT Cboe vs. FT Cboe Vest |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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