Correlation Between TEXAS ROADHOUSE and Bank of America
Can any of the company-specific risk be diversified away by investing in both TEXAS ROADHOUSE and Bank of America 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 TEXAS ROADHOUSE and Bank of America into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TEXAS ROADHOUSE and Verizon Communications, you can compare the effects of market volatilities on TEXAS ROADHOUSE and Bank of America 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 TEXAS ROADHOUSE with a short position of Bank of America. Check out your portfolio center. Please also check ongoing floating volatility patterns of TEXAS ROADHOUSE and Bank of America.
Diversification Opportunities for TEXAS ROADHOUSE and Bank of America
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between TEXAS and Bank is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding TEXAS ROADHOUSE and Verizon Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Verizon Communications and TEXAS ROADHOUSE 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 TEXAS ROADHOUSE are associated (or correlated) with Bank of America. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Verizon Communications has no effect on the direction of TEXAS ROADHOUSE i.e., TEXAS ROADHOUSE and Bank of America go up and down completely randomly.
Pair Corralation between TEXAS ROADHOUSE and Bank of America
Assuming the 90 days trading horizon TEXAS ROADHOUSE is expected to generate 2.32 times less return on investment than Bank of America. In addition to that, TEXAS ROADHOUSE is 2.24 times more volatile than Verizon Communications. It trades about 0.07 of its total potential returns per unit of risk. Verizon Communications is currently generating about 0.38 per unit of volatility. If you would invest 3,867 in Verizon Communications on December 4, 2024 and sell it today you would earn a total of 277.00 from holding Verizon Communications or generate 7.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
TEXAS ROADHOUSE vs. Verizon Communications
Performance |
Timeline |
TEXAS ROADHOUSE |
Verizon Communications |
TEXAS ROADHOUSE and Bank of America Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TEXAS ROADHOUSE and Bank of America
The main advantage of trading using opposite TEXAS ROADHOUSE and Bank of America positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TEXAS ROADHOUSE position performs unexpectedly, Bank of America 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 Bank of America will offset losses from the drop in Bank of America's long position.TEXAS ROADHOUSE vs. Dalata Hotel Group | TEXAS ROADHOUSE vs. Meli Hotels International | TEXAS ROADHOUSE vs. Choice Hotels International | TEXAS ROADHOUSE vs. MTI INVESTMENT SE |
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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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