Correlation Between First Trust and SEI Select
Can any of the company-specific risk be diversified away by investing in both First Trust and SEI 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 SEI Select into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Nasdaq and SEI Select Emerging, you can compare the effects of market volatilities on First Trust and SEI 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 SEI Select. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and SEI Select.
Diversification Opportunities for First Trust and SEI Select
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and SEI is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Nasdaq and SEI Select Emerging in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SEI Select Emerging 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 Nasdaq are associated (or correlated) with SEI Select. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SEI Select Emerging has no effect on the direction of First Trust i.e., First Trust and SEI Select go up and down completely randomly.
Pair Corralation between First Trust and SEI Select
Given the investment horizon of 90 days First Trust is expected to generate 28.8 times less return on investment than SEI Select. But when comparing it to its historical volatility, First Trust Nasdaq is 1.03 times less risky than SEI Select. It trades about 0.0 of its potential returns per unit of risk. SEI Select Emerging is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 2,368 in SEI Select Emerging on October 24, 2024 and sell it today you would earn a total of 5.00 from holding SEI Select Emerging or generate 0.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
First Trust Nasdaq vs. SEI Select Emerging
Performance |
Timeline |
First Trust Nasdaq |
SEI Select Emerging |
First Trust and SEI Select Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and SEI Select
The main advantage of trading using opposite First Trust and SEI Select positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, SEI 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 SEI Select will offset losses from the drop in SEI Select's long position.First Trust vs. First Trust Nasdaq | First Trust vs. First Trust Nasdaq | First Trust vs. First Trust Nasdaq | First Trust vs. First Trust Indxx |
SEI Select vs. Dimensional International Core | SEI Select vs. Dimensional Core Equity | SEI Select vs. Dimensional ETF Trust | SEI Select vs. Dimensional ETF Trust |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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