Correlation Between Bread Financial and Tres Tentos
Can any of the company-specific risk be diversified away by investing in both Bread Financial and Tres Tentos 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 Tres Tentos 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 Tres Tentos Agroindustrial, you can compare the effects of market volatilities on Bread Financial and Tres Tentos 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 Tres Tentos. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bread Financial and Tres Tentos.
Diversification Opportunities for Bread Financial and Tres Tentos
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bread and Tres is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Bread Financial Holdings and Tres Tentos Agroindustrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tres Tentos Agroindu 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 Tres Tentos. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tres Tentos Agroindu has no effect on the direction of Bread Financial i.e., Bread Financial and Tres Tentos go up and down completely randomly.
Pair Corralation between Bread Financial and Tres Tentos
Assuming the 90 days trading horizon Bread Financial Holdings is expected to generate 1.32 times more return on investment than Tres Tentos. However, Bread Financial is 1.32 times more volatile than Tres Tentos Agroindustrial. It trades about 0.13 of its potential returns per unit of risk. Tres Tentos Agroindustrial is currently generating about 0.04 per unit of risk. If you would invest 3,237 in Bread Financial Holdings on October 8, 2024 and sell it today you would earn a total of 6,191 from holding Bread Financial Holdings or generate 191.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.83% |
Values | Daily Returns |
Bread Financial Holdings vs. Tres Tentos Agroindustrial
Performance |
Timeline |
Bread Financial Holdings |
Tres Tentos Agroindu |
Bread Financial and Tres Tentos Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bread Financial and Tres Tentos
The main advantage of trading using opposite Bread Financial and Tres Tentos positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bread Financial position performs unexpectedly, Tres Tentos 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 Tres Tentos will offset losses from the drop in Tres Tentos' long position.Bread Financial vs. ZoomInfo Technologies | Bread Financial vs. Discover Financial Services | Bread Financial vs. Prudential Financial | Bread Financial vs. Jefferies Financial Group |
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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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