Correlation Between American Express and Scout E
Can any of the company-specific risk be diversified away by investing in both American Express and Scout E 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 Scout E into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Express and Scout E Bond, you can compare the effects of market volatilities on American Express and Scout E 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 Scout E. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Express and Scout E.
Diversification Opportunities for American Express and Scout E
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between American and Scout is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding American Express and Scout E Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scout E Bond 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 Scout E. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scout E Bond has no effect on the direction of American Express i.e., American Express and Scout E go up and down completely randomly.
Pair Corralation between American Express and Scout E
Considering the 90-day investment horizon American Express is expected to generate 3.48 times more return on investment than Scout E. However, American Express is 3.48 times more volatile than Scout E Bond. It trades about 0.1 of its potential returns per unit of risk. Scout E Bond is currently generating about 0.02 per unit of risk. If you would invest 15,318 in American Express on September 2, 2024 and sell it today you would earn a total of 15,150 from holding American Express or generate 98.9% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 31.05% |
| Values | Daily Returns |
American Express vs. Scout E Bond
Performance |
| Timeline |
| American Express |
| Scout E Bond |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
American Express and Scout E Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with American Express and Scout E
The main advantage of trading using opposite American Express and Scout E positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Express position performs unexpectedly, Scout E 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 Scout E will offset losses from the drop in Scout E's long position.| American Express vs. 360 Finance | American Express vs. Atlanticus Holdings | American Express vs. Qudian Inc | American Express vs. Enova International |
| Scout E vs. American Funds Strategic | Scout E vs. Baron Global Advantage | Scout E vs. Fidelity Intermediate Treasury | Scout E vs. American Funds Porate |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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