Correlation Between First Trust and AllianzIM Large
Can any of the company-specific risk be diversified away by investing in both First Trust and AllianzIM Large 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 AllianzIM Large into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Cboe and AllianzIM Large Cap, you can compare the effects of market volatilities on First Trust and AllianzIM Large 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 AllianzIM Large. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and AllianzIM Large.
Diversification Opportunities for First Trust and AllianzIM Large
1.0 | Correlation Coefficient |
No risk reduction
The 3 months correlation between First and AllianzIM is 1.0. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Cboe and AllianzIM Large Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AllianzIM Large Cap 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 Cboe are associated (or correlated) with AllianzIM Large. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AllianzIM Large Cap has no effect on the direction of First Trust i.e., First Trust and AllianzIM Large go up and down completely randomly.
Pair Corralation between First Trust and AllianzIM Large
Given the investment horizon of 90 days First Trust Cboe is expected to generate 0.74 times more return on investment than AllianzIM Large. However, First Trust Cboe is 1.34 times less risky than AllianzIM Large. It trades about -0.08 of its potential returns per unit of risk. AllianzIM Large Cap is currently generating about -0.09 per unit of risk. If you would invest 3,052 in First Trust Cboe on December 29, 2024 and sell it today you would lose (97.00) from holding First Trust Cboe or give up 3.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
First Trust Cboe vs. AllianzIM Large Cap
Performance |
Timeline |
First Trust Cboe |
AllianzIM Large Cap |
First Trust and AllianzIM Large Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and AllianzIM Large
The main advantage of trading using opposite First Trust and AllianzIM Large positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, AllianzIM Large 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 AllianzIM Large will offset losses from the drop in AllianzIM Large's long position.First Trust vs. FT Cboe Vest | First Trust vs. First Trust Exchange Traded | First Trust vs. FT Cboe Vest | First Trust vs. FT Cboe Vest |
AllianzIM Large vs. AllianzIM Large Cap | AllianzIM Large vs. AIM ETF Products | AllianzIM Large vs. AIM ETF Products | AllianzIM Large vs. AIM ETF Products |
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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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