Correlation Between Bread Financial and Ross Stores
Can any of the company-specific risk be diversified away by investing in both Bread Financial and Ross Stores 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 Ross Stores 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 Ross Stores, you can compare the effects of market volatilities on Bread Financial and Ross Stores 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 Ross Stores. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bread Financial and Ross Stores.
Diversification Opportunities for Bread Financial and Ross Stores
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bread and Ross is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Bread Financial Holdings and Ross Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ross Stores 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 Ross Stores. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ross Stores has no effect on the direction of Bread Financial i.e., Bread Financial and Ross Stores go up and down completely randomly.
Pair Corralation between Bread Financial and Ross Stores
Assuming the 90 days trading horizon Bread Financial Holdings is expected to generate 1.94 times more return on investment than Ross Stores. However, Bread Financial is 1.94 times more volatile than Ross Stores. It trades about 0.21 of its potential returns per unit of risk. Ross Stores is currently generating about 0.11 per unit of risk. If you would invest 6,435 in Bread Financial Holdings on September 24, 2024 and sell it today you would earn a total of 3,006 from holding Bread Financial Holdings or generate 46.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bread Financial Holdings vs. Ross Stores
Performance |
Timeline |
Bread Financial Holdings |
Ross Stores |
Bread Financial and Ross Stores Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bread Financial and Ross Stores
The main advantage of trading using opposite Bread Financial and Ross Stores positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bread Financial position performs unexpectedly, Ross Stores 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 Ross Stores will offset losses from the drop in Ross Stores' long position.Bread Financial vs. Take Two Interactive Software | Bread Financial vs. Nordon Indstrias Metalrgicas | Bread Financial vs. Bank of America | Bread Financial vs. Tres Tentos Agroindustrial |
Ross Stores vs. Gerdau SA | Ross Stores vs. Morgan Stanley | Ross Stores vs. Capital One Financial | Ross Stores vs. Honeywell International |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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