Correlation Between First Trust and Alerian MLP
Can any of the company-specific risk be diversified away by investing in both First Trust and Alerian MLP 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 Alerian MLP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust North and Alerian MLP ETF, you can compare the effects of market volatilities on First Trust and Alerian MLP 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 Alerian MLP. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and Alerian MLP.
Diversification Opportunities for First Trust and Alerian MLP
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between First and Alerian is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding First Trust North and Alerian MLP ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alerian MLP ETF 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 North are associated (or correlated) with Alerian MLP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alerian MLP ETF has no effect on the direction of First Trust i.e., First Trust and Alerian MLP go up and down completely randomly.
Pair Corralation between First Trust and Alerian MLP
Given the investment horizon of 90 days First Trust North is expected to generate 1.04 times more return on investment than Alerian MLP. However, First Trust is 1.04 times more volatile than Alerian MLP ETF. It trades about 0.09 of its potential returns per unit of risk. Alerian MLP ETF is currently generating about 0.04 per unit of risk. If you would invest 3,370 in First Trust North on September 22, 2024 and sell it today you would earn a total of 167.00 from holding First Trust North or generate 4.96% 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 North vs. Alerian MLP ETF
Performance |
Timeline |
First Trust North |
Alerian MLP ETF |
First Trust and Alerian MLP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and Alerian MLP
The main advantage of trading using opposite First Trust and Alerian MLP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, Alerian MLP 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 Alerian MLP will offset losses from the drop in Alerian MLP's long position.First Trust vs. Global X MLP | First Trust vs. Global X MLP | First Trust vs. First Trust Energy | First Trust vs. First Trust Preferred |
Alerian MLP vs. Alerian Energy Infrastructure | Alerian MLP vs. Global X MLP | Alerian MLP vs. First Trust North | Alerian MLP vs. iShares MSCI Global |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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