Correlation Between Innovator Long and Innovator ETFs
Can any of the company-specific risk be diversified away by investing in both Innovator Long and Innovator ETFs 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 Long and Innovator ETFs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Innovator Long Term and Innovator ETFs Trust, you can compare the effects of market volatilities on Innovator Long and Innovator ETFs 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 Long with a short position of Innovator ETFs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Innovator Long and Innovator ETFs.
Diversification Opportunities for Innovator Long and Innovator ETFs
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Innovator and Innovator is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Innovator Long Term and Innovator ETFs Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Innovator ETFs Trust and Innovator Long 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 Long Term are associated (or correlated) with Innovator ETFs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Innovator ETFs Trust has no effect on the direction of Innovator Long i.e., Innovator Long and Innovator ETFs go up and down completely randomly.
Pair Corralation between Innovator Long and Innovator ETFs
Given the investment horizon of 90 days Innovator Long Term is expected to under-perform the Innovator ETFs. But the etf apears to be less risky and, when comparing its historical volatility, Innovator Long Term is 1.48 times less risky than Innovator ETFs. The etf trades about -0.17 of its potential returns per unit of risk. The Innovator ETFs Trust is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest 2,933 in Innovator ETFs Trust on October 10, 2024 and sell it today you would lose (51.00) from holding Innovator ETFs Trust or give up 1.74% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Innovator Long Term vs. Innovator ETFs Trust
Performance |
Timeline |
Innovator Long Term |
Innovator ETFs Trust |
Innovator Long and Innovator ETFs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Innovator Long and Innovator ETFs
The main advantage of trading using opposite Innovator Long and Innovator ETFs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innovator Long position performs unexpectedly, Innovator ETFs 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 Innovator ETFs will offset losses from the drop in Innovator ETFs' long position.Innovator Long vs. Innovator 20 Year | Innovator Long vs. Northern Lights | Innovator Long vs. iShares 25 Year | Innovator Long vs. First Trust Exchange Traded |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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