Correlation Between First Trust and Davis Select
Can any of the company-specific risk be diversified away by investing in both First Trust and Davis Select 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 Davis Select into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Dorsey and Davis Select Worldwide, you can compare the effects of market volatilities on First Trust and Davis Select 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 Davis Select. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and Davis Select.
Diversification Opportunities for First Trust and Davis Select
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between First and Davis is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Dorsey and Davis Select Worldwide in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Davis Select Worldwide 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 Dorsey are associated (or correlated) with Davis Select. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Davis Select Worldwide has no effect on the direction of First Trust i.e., First Trust and Davis Select go up and down completely randomly.
Pair Corralation between First Trust and Davis Select
Given the investment horizon of 90 days First Trust Dorsey is expected to generate 0.87 times more return on investment than Davis Select. However, First Trust Dorsey is 1.15 times less risky than Davis Select. It trades about 0.22 of its potential returns per unit of risk. Davis Select Worldwide is currently generating about 0.16 per unit of risk. If you would invest 2,431 in First Trust Dorsey on May 2, 2025 and sell it today you would earn a total of 270.00 from holding First Trust Dorsey or generate 11.11% 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 Dorsey vs. Davis Select Worldwide
Performance |
Timeline |
First Trust Dorsey |
Davis Select Worldwide |
First Trust and Davis Select Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and Davis Select
The main advantage of trading using opposite First Trust and Davis Select positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, Davis Select 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 Davis Select will offset losses from the drop in Davis Select's long position.First Trust vs. First Trust Dorsey | First Trust vs. Direxion Daily MSCI | First Trust vs. MFUT | First Trust vs. VanEck Morningstar Wide |
Davis Select vs. Davis Select Financial | Davis Select vs. Davis Select International | Davis Select vs. First Trust Multi | Davis Select vs. First Trust Dorsey |
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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