Correlation Between First Trust and WBI BullBear
Can any of the company-specific risk be diversified away by investing in both First Trust and WBI BullBear 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 WBI BullBear 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 WBI BullBear Value, you can compare the effects of market volatilities on First Trust and WBI BullBear 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 WBI BullBear. Check out your portfolio center. Please also check ongoing floating volatility patterns of First Trust and WBI BullBear.
Diversification Opportunities for First Trust and WBI BullBear
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between First and WBI is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding First Trust Dorsey and WBI BullBear Value in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WBI BullBear Value 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 WBI BullBear. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WBI BullBear Value has no effect on the direction of First Trust i.e., First Trust and WBI BullBear go up and down completely randomly.
Pair Corralation between First Trust and WBI BullBear
Given the investment horizon of 90 days First Trust Dorsey is expected to generate 1.6 times more return on investment than WBI BullBear. However, First Trust is 1.6 times more volatile than WBI BullBear Value. It trades about 0.08 of its potential returns per unit of risk. WBI BullBear Value is currently generating about 0.06 per unit of risk. If you would invest 2,142 in First Trust Dorsey on November 9, 2024 and sell it today you would earn a total of 587.00 from holding First Trust Dorsey or generate 27.4% 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. WBI BullBear Value
Performance |
| Timeline |
| First Trust Dorsey |
| WBI BullBear Value |
First Trust and WBI BullBear Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with First Trust and WBI BullBear
The main advantage of trading using opposite First Trust and WBI BullBear positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if First Trust position performs unexpectedly, WBI BullBear 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 WBI BullBear will offset losses from the drop in WBI BullBear's long position.| First Trust vs. Freedom Day Dividend | First Trust vs. Franklin Templeton ETF | First Trust vs. iShares MSCI China | First Trust vs. Tidal Trust II |
| WBI BullBear vs. FT Vest Equity | WBI BullBear vs. Northern Lights | WBI BullBear vs. Dimensional International High | WBI BullBear vs. First Trust Exchange Traded |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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