Correlation Between Bread Financial and Discover Financial
Can any of the company-specific risk be diversified away by investing in both Bread Financial 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 Bread Financial and Discover Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bread Financial Holdings and Discover Financial Services, you can compare the effects of market volatilities on Bread Financial 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 Bread Financial with a short position of Discover Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bread Financial and Discover Financial.
Diversification Opportunities for Bread Financial and Discover Financial
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bread and Discover is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding Bread Financial Holdings and Discover Financial Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Discover Financial and Bread 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 Bread Financial Holdings 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 Bread Financial i.e., Bread Financial and Discover Financial go up and down completely randomly.
Pair Corralation between Bread Financial and Discover Financial
If you would invest 5,142 in Bread Financial Holdings on May 28, 2025 and sell it today you would earn a total of 1,143 from holding Bread Financial Holdings or generate 22.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 1.61% |
Values | Daily Returns |
Bread Financial Holdings vs. Discover Financial Services
Performance |
Timeline |
Bread Financial Holdings |
Discover Financial |
Risk-Adjusted Performance
Weakest
Weak | Strong |
Bread Financial and Discover Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bread Financial and Discover Financial
The main advantage of trading using opposite Bread Financial and Discover Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bread Financial 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.Bread Financial vs. Atlantic Union Bankshares | Bread Financial vs. Ball Corporation | Bread Financial vs. FirstCash | Bread Financial vs. Federated Investors B |
Discover Financial vs. Ally Financial | Discover Financial vs. Synchrony Financial | Discover Financial vs. Western Union Co | Discover Financial vs. Bread Financial Holdings |
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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