Correlation Between First Trust and IShares Global
Can any of the company-specific risk be diversified away by investing in both First Trust and IShares Global 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 IShares Global 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 iShares Global Consumer, you can compare the effects of market volatilities on First Trust and IShares Global 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 IShares Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and IShares Global.
Diversification Opportunities for First Trust and IShares Global
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between First and IShares is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Nasdaq and iShares Global Consumer in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Global Consumer 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 IShares Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Global Consumer has no effect on the direction of First Trust i.e., First Trust and IShares Global go up and down completely randomly.
Pair Corralation between First Trust and IShares Global
Given the investment horizon of 90 days First Trust is expected to generate 1.86 times less return on investment than IShares Global. In addition to that, First Trust is 1.47 times more volatile than iShares Global Consumer. It trades about 0.04 of its total potential returns per unit of risk. iShares Global Consumer is currently generating about 0.11 per unit of volatility. If you would invest 6,015 in iShares Global Consumer on December 28, 2024 and sell it today you would earn a total of 328.00 from holding iShares Global Consumer or generate 5.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
First Trust Nasdaq vs. iShares Global Consumer
Performance |
Timeline |
First Trust Nasdaq |
Risk-Adjusted Performance
Insignificant
Weak | Strong |
iShares Global Consumer |
First Trust and IShares Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and IShares Global
The main advantage of trading using opposite First Trust and IShares Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, IShares Global 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 IShares Global will offset losses from the drop in IShares Global's long position.First Trust vs. Ultimus Managers Trust | First Trust vs. American Beacon Select | First Trust vs. First Trust Indxx | First Trust vs. Direxion Daily Regional |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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