Correlation Between FT Cboe and Northern Lights
Can any of the company-specific risk be diversified away by investing in both FT Cboe and Northern Lights 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 FT Cboe and Northern Lights into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FT Cboe Vest and Northern Lights, you can compare the effects of market volatilities on FT Cboe and Northern Lights 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 FT Cboe with a short position of Northern Lights. Check out your portfolio center. Please also check ongoing floating volatility patterns of FT Cboe and Northern Lights.
Diversification Opportunities for FT Cboe and Northern Lights
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between DJUN and Northern is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding FT Cboe Vest and Northern Lights in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northern Lights and FT Cboe 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 FT Cboe Vest are associated (or correlated) with Northern Lights. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northern Lights has no effect on the direction of FT Cboe i.e., FT Cboe and Northern Lights go up and down completely randomly.
Pair Corralation between FT Cboe and Northern Lights
Given the investment horizon of 90 days FT Cboe is expected to generate 1.46 times less return on investment than Northern Lights. But when comparing it to its historical volatility, FT Cboe Vest is 1.91 times less risky than Northern Lights. It trades about 0.17 of its potential returns per unit of risk. Northern Lights is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 2,808 in Northern Lights on August 25, 2024 and sell it today you would earn a total of 755.00 from holding Northern Lights or generate 26.89% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
FT Cboe Vest vs. Northern Lights
Performance |
| Timeline |
| FT Cboe Vest |
| Northern Lights |
FT Cboe and Northern Lights Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with FT Cboe and Northern Lights
The main advantage of trading using opposite FT Cboe and Northern Lights positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FT Cboe position performs unexpectedly, Northern Lights 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 Northern Lights will offset losses from the drop in Northern Lights' long position.| FT Cboe vs. First Trust Cboe | FT Cboe vs. FT Cboe Vest | FT Cboe vs. Innovator SP 500 | FT Cboe vs. FT Cboe Vest |
| Northern Lights vs. Sterling Capital Focus | Northern Lights vs. Roundhill ETF Trust | Northern Lights vs. Northern Lights | Northern Lights 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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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