Correlation Between Boyd Gaming and Cass Information
Can any of the company-specific risk be diversified away by investing in both Boyd Gaming and Cass Information 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 Boyd Gaming and Cass Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Boyd Gaming and Cass Information Systems, you can compare the effects of market volatilities on Boyd Gaming and Cass Information 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 Boyd Gaming with a short position of Cass Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Boyd Gaming and Cass Information.
Diversification Opportunities for Boyd Gaming and Cass Information
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Boyd and Cass is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Boyd Gaming and Cass Information Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cass Information Systems and Boyd Gaming 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 Boyd Gaming are associated (or correlated) with Cass Information. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cass Information Systems has no effect on the direction of Boyd Gaming i.e., Boyd Gaming and Cass Information go up and down completely randomly.
Pair Corralation between Boyd Gaming and Cass Information
Assuming the 90 days trading horizon Boyd Gaming is expected to generate 1.12 times more return on investment than Cass Information. However, Boyd Gaming is 1.12 times more volatile than Cass Information Systems. It trades about 0.17 of its potential returns per unit of risk. Cass Information Systems is currently generating about 0.05 per unit of risk. If you would invest 5,985 in Boyd Gaming on April 25, 2025 and sell it today you would earn a total of 1,065 from holding Boyd Gaming or generate 17.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Boyd Gaming vs. Cass Information Systems
Performance |
Timeline |
Boyd Gaming |
Cass Information Systems |
Boyd Gaming and Cass Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Boyd Gaming and Cass Information
The main advantage of trading using opposite Boyd Gaming and Cass Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Boyd Gaming position performs unexpectedly, Cass Information 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 Cass Information will offset losses from the drop in Cass Information's long position.Boyd Gaming vs. Sunny Optical Technology | Boyd Gaming vs. GOLDQUEST MINING | Boyd Gaming vs. Perseus Mining Limited | Boyd Gaming vs. Minerals Technologies |
Cass Information vs. Cintas | Cass Information vs. Elis SA | Cass Information vs. PARK24 LTD | Cass Information vs. RELO GROUP INC |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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