Correlation Between American Express and Tidal Trust
Can any of the company-specific risk be diversified away by investing in both American Express 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 American Express and Tidal Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Express and Tidal Trust II, you can compare the effects of market volatilities on American Express 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 American Express with a short position of Tidal Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Express and Tidal Trust.
Diversification Opportunities for American Express and Tidal Trust
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between American and Tidal is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding American Express 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 American Express 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 American Express 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 American Express i.e., American Express and Tidal Trust go up and down completely randomly.
Pair Corralation between American Express and Tidal Trust
Considering the 90-day investment horizon American Express is expected to generate 1.75 times more return on investment than Tidal Trust. However, American Express is 1.75 times more volatile than Tidal Trust II. It trades about 0.22 of its potential returns per unit of risk. Tidal Trust II is currently generating about 0.11 per unit of risk. If you would invest 29,773 in American Express on November 3, 2024 and sell it today you would earn a total of 1,954 from holding American Express or generate 6.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
American Express vs. Tidal Trust II
Performance |
Timeline |
American Express |
Tidal Trust II |
American Express and Tidal Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Express and Tidal Trust
The main advantage of trading using opposite American Express and Tidal Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Express 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.American Express vs. Visa Class A | American Express vs. PayPal Holdings | American Express vs. Capital One Financial | American Express vs. Upstart Holdings |
Tidal Trust vs. Tidal Trust II | Tidal Trust vs. Direxion Daily META | Tidal Trust vs. Direxion Daily META | Tidal Trust vs. Tidal Trust II |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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