Correlation Between GM and Tidal Trust
Can any of the company-specific risk be diversified away by investing in both GM and Tidal 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 GM and Tidal Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Tidal Trust II, you can compare the effects of market volatilities on GM and Tidal 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 GM with a short position of Tidal Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Tidal Trust.
Diversification Opportunities for GM and Tidal Trust
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between GM and Tidal is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Tidal Trust II in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tidal Trust II and GM 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 General Motors are associated (or correlated) with Tidal Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tidal Trust II has no effect on the direction of GM i.e., GM and Tidal Trust go up and down completely randomly.
Pair Corralation between GM and Tidal Trust
Allowing for the 90-day total investment horizon General Motors is expected to generate 0.44 times more return on investment than Tidal Trust. However, General Motors is 2.27 times less risky than Tidal Trust. It trades about 0.04 of its potential returns per unit of risk. Tidal Trust II is currently generating about -0.13 per unit of risk. If you would invest 4,048 in General Motors on September 26, 2024 and sell it today you would earn a total of 1,303 from holding General Motors or generate 32.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 2.53% |
Values | Daily Returns |
General Motors vs. Tidal Trust II
Performance |
Timeline |
General Motors |
Tidal Trust II |
GM and Tidal Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Tidal Trust
The main advantage of trading using opposite GM and Tidal Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, Tidal 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 Tidal Trust will offset losses from the drop in Tidal Trust's long position.The idea behind General Motors and Tidal Trust II pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Tidal Trust vs. FT Vest Equity | Tidal Trust vs. Zillow Group Class | Tidal Trust vs. Northern Lights | Tidal Trust vs. VanEck Vectors Moodys |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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