Correlation Between Air Products and Discover Financial
Can any of the company-specific risk be diversified away by investing in both Air Products and Discover Financial 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 Air Products and Discover Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Air Products and and Discover Financial Services, you can compare the effects of market volatilities on Air Products and Discover Financial 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 Air Products with a short position of Discover Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Air Products and Discover Financial.
Diversification Opportunities for Air Products and Discover Financial
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Air and Discover is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Air Products and and Discover Financial Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Discover Financial and Air Products 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 Air Products and are associated (or correlated) with Discover Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Discover Financial has no effect on the direction of Air Products i.e., Air Products and Discover Financial go up and down completely randomly.
Pair Corralation between Air Products and Discover Financial
Assuming the 90 days trading horizon Air Products is expected to generate 1.15 times less return on investment than Discover Financial. In addition to that, Air Products is 1.12 times more volatile than Discover Financial Services. It trades about 0.1 of its total potential returns per unit of risk. Discover Financial Services is currently generating about 0.13 per unit of volatility. If you would invest 35,375 in Discover Financial Services on October 8, 2024 and sell it today you would earn a total of 6,458 from holding Discover Financial Services or generate 18.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Air Products and vs. Discover Financial Services
Performance |
Timeline |
Air Products |
Discover Financial |
Air Products and Discover Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Air Products and Discover Financial
The main advantage of trading using opposite Air Products and Discover Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Air Products position performs unexpectedly, Discover Financial 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 Discover Financial will offset losses from the drop in Discover Financial's long position.Air Products vs. Taiwan Semiconductor Manufacturing | Air Products vs. Apple Inc | Air Products vs. Alibaba Group Holding | Air Products vs. Banco Santander Chile |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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