Correlation Between American Express and WisdomTree Issuer
Can any of the company-specific risk be diversified away by investing in both American Express and WisdomTree Issuer 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 WisdomTree Issuer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Express and WisdomTree Issuer ICAV, you can compare the effects of market volatilities on American Express and WisdomTree Issuer 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 WisdomTree Issuer. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Express and WisdomTree Issuer.
Diversification Opportunities for American Express and WisdomTree Issuer
0.85 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between American and WisdomTree is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding American Express and WisdomTree Issuer ICAV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on WisdomTree Issuer ICAV 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 WisdomTree Issuer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of WisdomTree Issuer ICAV has no effect on the direction of American Express i.e., American Express and WisdomTree Issuer go up and down completely randomly.
Pair Corralation between American Express and WisdomTree Issuer
Considering the 90-day investment horizon American Express is expected to generate 2.01 times more return on investment than WisdomTree Issuer. However, American Express is 2.01 times more volatile than WisdomTree Issuer ICAV. It trades about 0.16 of its potential returns per unit of risk. WisdomTree Issuer ICAV is currently generating about 0.11 per unit of risk. If you would invest 26,041 in American Express on September 16, 2024 and sell it today you would earn a total of 4,173 from holding American Express or generate 16.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
American Express vs. WisdomTree Issuer ICAV
Performance |
Timeline |
American Express |
WisdomTree Issuer ICAV |
American Express and WisdomTree Issuer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Express and WisdomTree Issuer
The main advantage of trading using opposite American Express and WisdomTree Issuer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Express position performs unexpectedly, WisdomTree Issuer 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 WisdomTree Issuer will offset losses from the drop in WisdomTree Issuer'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 |
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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 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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