Correlation Between Discover Financial and Global Ship
Can any of the company-specific risk be diversified away by investing in both Discover Financial and Global Ship 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 Discover Financial and Global Ship into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Discover Financial Services and Global Ship Lease, you can compare the effects of market volatilities on Discover Financial and Global Ship 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 Discover Financial with a short position of Global Ship. Check out your portfolio center. Please also check ongoing floating volatility patterns of Discover Financial and Global Ship.
Diversification Opportunities for Discover Financial and Global Ship
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Discover and Global is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Discover Financial Services and Global Ship Lease in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Global Ship Lease and Discover Financial 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 Discover Financial Services are associated (or correlated) with Global Ship. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Global Ship Lease has no effect on the direction of Discover Financial i.e., Discover Financial and Global Ship go up and down completely randomly.
Pair Corralation between Discover Financial and Global Ship
Assuming the 90 days horizon Discover Financial Services is expected to generate 0.88 times more return on investment than Global Ship. However, Discover Financial Services is 1.14 times less risky than Global Ship. It trades about 0.24 of its potential returns per unit of risk. Global Ship Lease is currently generating about 0.04 per unit of risk. If you would invest 16,796 in Discover Financial Services on October 23, 2024 and sell it today you would earn a total of 1,270 from holding Discover Financial Services or generate 7.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Discover Financial Services vs. Global Ship Lease
Performance |
Timeline |
Discover Financial |
Global Ship Lease |
Discover Financial and Global Ship Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Discover Financial and Global Ship
The main advantage of trading using opposite Discover Financial and Global Ship positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Discover Financial position performs unexpectedly, Global Ship 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 Global Ship will offset losses from the drop in Global Ship's long position.Discover Financial vs. Visa Inc | Discover Financial vs. Visa Inc | Discover Financial vs. Mastercard | Discover Financial 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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