Correlation Between American Express and STANLN
Specify exactly 2 symbols:
By analyzing existing cross correlation between American Express and STANLN 32 17 APR 25, you can compare the effects of market volatilities on American Express and STANLN 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 STANLN. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Express and STANLN.
Diversification Opportunities for American Express and STANLN
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between American and STANLN is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding American Express and STANLN 32 17 APR 25 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STANLN 32 17 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 STANLN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STANLN 32 17 has no effect on the direction of American Express i.e., American Express and STANLN go up and down completely randomly.
Pair Corralation between American Express and STANLN
Considering the 90-day investment horizon American Express is expected to generate 5.16 times more return on investment than STANLN. However, American Express is 5.16 times more volatile than STANLN 32 17 APR 25. It trades about 0.1 of its potential returns per unit of risk. STANLN 32 17 APR 25 is currently generating about 0.08 per unit of risk. If you would invest 14,316 in American Express on September 13, 2024 and sell it today you would earn a total of 15,918 from holding American Express or generate 111.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 16.8% |
Values | Daily Returns |
American Express vs. STANLN 32 17 APR 25
Performance |
Timeline |
American Express |
STANLN 32 17 |
American Express and STANLN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Express and STANLN
The main advantage of trading using opposite American Express and STANLN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Express position performs unexpectedly, STANLN 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 STANLN will offset losses from the drop in STANLN's long position.American Express vs. Visa Class A | American Express vs. PayPal Holdings | American Express vs. Upstart Holdings | American Express vs. Mastercard |
STANLN vs. Meiwu Technology Co | STANLN vs. 17 Education Technology | STANLN vs. Afya | STANLN vs. Skillful Craftsman Education |
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 Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Other Complementary Tools
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |