Correlation Between First Trust and Select Sector
Can any of the company-specific risk be diversified away by investing in both First Trust and Select Sector 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 Select Sector into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Developed and The Select Sector, you can compare the effects of market volatilities on First Trust and Select Sector 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 Select Sector. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and Select Sector.
Diversification Opportunities for First Trust and Select Sector
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between First and Select is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Developed and The Select Sector in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Select Sector 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 Developed are associated (or correlated) with Select Sector. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Select Sector has no effect on the direction of First Trust i.e., First Trust and Select Sector go up and down completely randomly.
Pair Corralation between First Trust and Select Sector
Assuming the 90 days trading horizon First Trust Developed is expected to generate 0.42 times more return on investment than Select Sector. However, First Trust Developed is 2.36 times less risky than Select Sector. It trades about 0.22 of its potential returns per unit of risk. The Select Sector is currently generating about -0.41 per unit of risk. If you would invest 89,577 in First Trust Developed on September 26, 2024 and sell it today you would earn a total of 1,590 from holding First Trust Developed or generate 1.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
First Trust Developed vs. The Select Sector
Performance |
Timeline |
First Trust Developed |
Select Sector |
First Trust and Select Sector Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and Select Sector
The main advantage of trading using opposite First Trust and Select Sector positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, Select Sector 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 Select Sector will offset losses from the drop in Select Sector's long position.First Trust vs. Vanguard Index Funds | First Trust vs. Vanguard STAR Funds | First Trust vs. SPDR SP 500 | First Trust vs. iShares Trust |
Select Sector vs. Vanguard Index Funds | Select Sector vs. Vanguard STAR Funds | Select Sector vs. SPDR SP 500 | Select Sector vs. iShares 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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