Correlation Between American Express and Tinka Resources
Can any of the company-specific risk be diversified away by investing in both American Express and Tinka Resources 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 Tinka Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between American Express and Tinka Resources Limited, you can compare the effects of market volatilities on American Express and Tinka Resources 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 Tinka Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of American Express and Tinka Resources.
Diversification Opportunities for American Express and Tinka Resources
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between American and Tinka is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding American Express and Tinka Resources Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tinka Resources 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 Tinka Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tinka Resources has no effect on the direction of American Express i.e., American Express and Tinka Resources go up and down completely randomly.
Pair Corralation between American Express and Tinka Resources
Considering the 90-day investment horizon American Express is expected to generate 0.21 times more return on investment than Tinka Resources. However, American Express is 4.87 times less risky than Tinka Resources. It trades about -0.09 of its potential returns per unit of risk. Tinka Resources Limited is currently generating about -0.04 per unit of risk. If you would invest 29,810 in American Express on December 21, 2024 and sell it today you would lose (2,727) from holding American Express or give up 9.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
American Express vs. Tinka Resources Limited
Performance |
Timeline |
American Express |
Tinka Resources |
American Express and Tinka Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with American Express and Tinka Resources
The main advantage of trading using opposite American Express and Tinka Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if American Express position performs unexpectedly, Tinka Resources 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 Tinka Resources will offset losses from the drop in Tinka Resources' 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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