Correlation Between Innovator Nasdaq and First Trust
Can any of the company-specific risk be diversified away by investing in both Innovator Nasdaq 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 Innovator Nasdaq and First Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Innovator Nasdaq 100 Power and First Trust Cboe, you can compare the effects of market volatilities on Innovator Nasdaq 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 Innovator Nasdaq with a short position of First Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Innovator Nasdaq and First Trust.
Diversification Opportunities for Innovator Nasdaq and First Trust
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Innovator and First is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Innovator Nasdaq 100 Power and First Trust Cboe in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Trust Cboe and Innovator Nasdaq 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 Innovator Nasdaq 100 Power 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 Cboe has no effect on the direction of Innovator Nasdaq i.e., Innovator Nasdaq and First Trust go up and down completely randomly.
Pair Corralation between Innovator Nasdaq and First Trust
Given the investment horizon of 90 days Innovator Nasdaq 100 Power is expected to under-perform the First Trust. In addition to that, Innovator Nasdaq is 1.25 times more volatile than First Trust Cboe. It trades about -0.1 of its total potential returns per unit of risk. First Trust Cboe is currently generating about -0.04 per unit of volatility. If you would invest 3,052 in First Trust Cboe on December 29, 2024 and sell it today you would lose (52.00) from holding First Trust Cboe or give up 1.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Innovator Nasdaq 100 Power vs. First Trust Cboe
Performance |
Timeline |
Innovator Nasdaq 100 |
First Trust Cboe |
Innovator Nasdaq and First Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Innovator Nasdaq and First Trust
The main advantage of trading using opposite Innovator Nasdaq and First Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innovator Nasdaq 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.Innovator Nasdaq vs. Innovator Nasdaq 100 Power | Innovator Nasdaq vs. Innovator Growth 100 Power | Innovator Nasdaq vs. Innovator Nasdaq 100 Power | Innovator Nasdaq vs. Innovator Russell 2000 |
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 |
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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