Correlation Between First Trust and Arrow DWA
Can any of the company-specific risk be diversified away by investing in both First Trust and Arrow DWA 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 Arrow DWA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between First Trust Dorsey and Arrow DWA Tactical, you can compare the effects of market volatilities on First Trust and Arrow DWA 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 Arrow DWA. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and Arrow DWA.
Diversification Opportunities for First Trust and Arrow DWA
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and Arrow is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Dorsey and Arrow DWA Tactical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Arrow DWA Tactical 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 Dorsey are associated (or correlated) with Arrow DWA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Arrow DWA Tactical has no effect on the direction of First Trust i.e., First Trust and Arrow DWA go up and down completely randomly.
Pair Corralation between First Trust and Arrow DWA
Given the investment horizon of 90 days First Trust Dorsey is expected to under-perform the Arrow DWA. In addition to that, First Trust is 1.31 times more volatile than Arrow DWA Tactical. It trades about -0.06 of its total potential returns per unit of risk. Arrow DWA Tactical is currently generating about 0.02 per unit of volatility. If you would invest 1,193 in Arrow DWA Tactical on November 27, 2024 and sell it today you would earn a total of 9.00 from holding Arrow DWA Tactical or generate 0.75% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
First Trust Dorsey vs. Arrow DWA Tactical
Performance |
| Timeline |
| First Trust Dorsey |
| Arrow DWA Tactical |
First Trust and Arrow DWA Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with First Trust and Arrow DWA
The main advantage of trading using opposite First Trust and Arrow DWA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, Arrow DWA 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 Arrow DWA will offset losses from the drop in Arrow DWA's long position.| First Trust vs. Strategy Shares | First Trust vs. Freedom Day Dividend | First Trust vs. Franklin Templeton ETF | First Trust vs. iShares MSCI China |
| Arrow DWA vs. Arrow DWA Tactical | Arrow DWA vs. FlexShares Real Assets | Arrow DWA vs. First Trust Income | Arrow DWA vs. VictoryShares Discovery Enhanced |
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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