Correlation Between American Express and Tomorrows Scholar
Can any of the company-specific risk be diversified away by investing in both American Express and Tomorrows Scholar 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 Tomorrows Scholar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Express and Tomorrows Scholar College, you can compare the effects of market volatilities on American Express and Tomorrows Scholar 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 Tomorrows Scholar. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Express and Tomorrows Scholar.
Diversification Opportunities for American Express and Tomorrows Scholar
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between American and Tomorrows is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding American Express and Tomorrows Scholar College in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tomorrows Scholar College 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 Tomorrows Scholar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tomorrows Scholar College has no effect on the direction of American Express i.e., American Express and Tomorrows Scholar go up and down completely randomly.
Pair Corralation between American Express and Tomorrows Scholar
Considering the 90-day investment horizon American Express is expected to generate 1.31 times less return on investment than Tomorrows Scholar. In addition to that, American Express is 1.32 times more volatile than Tomorrows Scholar College. It trades about 0.23 of its total potential returns per unit of risk. Tomorrows Scholar College is currently generating about 0.4 per unit of volatility. If you would invest 5,596 in Tomorrows Scholar College on September 20, 2024 and sell it today you would earn a total of 415.00 from holding Tomorrows Scholar College or generate 7.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
American Express vs. Tomorrows Scholar College
Performance |
Timeline |
American Express |
Tomorrows Scholar College |
American Express and Tomorrows Scholar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Express and Tomorrows Scholar
The main advantage of trading using opposite American Express and Tomorrows Scholar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Express position performs unexpectedly, Tomorrows Scholar 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 Tomorrows Scholar will offset losses from the drop in Tomorrows Scholar's long position.American Express vs. Visa Class A | American Express vs. PayPal Holdings | American Express vs. Mastercard |
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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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