Correlation Between Cass Information and SMX Public
Can any of the company-specific risk be diversified away by investing in both Cass Information and SMX Public 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 Cass Information and SMX Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cass Information Systems and SMX Public Limited, you can compare the effects of market volatilities on Cass Information and SMX Public 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 Cass Information with a short position of SMX Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cass Information and SMX Public.
Diversification Opportunities for Cass Information and SMX Public
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Cass and SMX is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Cass Information Systems and SMX Public Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SMX Public Limited and Cass Information 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 Cass Information Systems are associated (or correlated) with SMX Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SMX Public Limited has no effect on the direction of Cass Information i.e., Cass Information and SMX Public go up and down completely randomly.
Pair Corralation between Cass Information and SMX Public
Given the investment horizon of 90 days Cass Information Systems is expected to under-perform the SMX Public. But the stock apears to be less risky and, when comparing its historical volatility, Cass Information Systems is 19.57 times less risky than SMX Public. The stock trades about -0.09 of its potential returns per unit of risk. The SMX Public Limited is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 629.00 in SMX Public Limited on October 23, 2024 and sell it today you would lose (93.00) from holding SMX Public Limited or give up 14.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Cass Information Systems vs. SMX Public Limited
Performance |
Timeline |
Cass Information Systems |
SMX Public Limited |
Cass Information and SMX Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cass Information and SMX Public
The main advantage of trading using opposite Cass Information and SMX Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cass Information position performs unexpectedly, SMX Public 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 SMX Public will offset losses from the drop in SMX Public's long position.Cass Information vs. First Advantage Corp | Cass Information vs. Rentokil Initial PLC | Cass Information vs. CBIZ Inc | Cass Information vs. Civeo Corp |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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