Correlation Between First Trust and First Trust
Can any of the company-specific risk be diversified away by investing in both First Trust and First Trust 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 First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Exchange Traded and First Trust Mid, you can compare the effects of market volatilities on First Trust and First Trust 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 First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and First Trust.
Diversification Opportunities for First Trust and First Trust
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and First is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Exchange Traded and First Trust Mid in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Mid 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 Exchange Traded are associated (or correlated) with First Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Trust Mid has no effect on the direction of First Trust i.e., First Trust and First Trust go up and down completely randomly.
Pair Corralation between First Trust and First Trust
Given the investment horizon of 90 days First Trust Exchange Traded is expected to generate 1.24 times more return on investment than First Trust. However, First Trust is 1.24 times more volatile than First Trust Mid. It trades about 0.12 of its potential returns per unit of risk. First Trust Mid is currently generating about -0.11 per unit of risk. If you would invest 2,706 in First Trust Exchange Traded on September 26, 2024 and sell it today you would earn a total of 133.00 from holding First Trust Exchange Traded or generate 4.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 14.29% |
Values | Daily Returns |
First Trust Exchange Traded vs. First Trust Mid
Performance |
Timeline |
First Trust Exchange |
First Trust Mid |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
First Trust and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with First Trust and First Trust
The main advantage of trading using opposite First Trust and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, First Trust 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 First Trust will offset losses from the drop in First Trust's long position.The idea behind First Trust Exchange Traded and First Trust Mid pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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