Correlation Between GreenPower and Cass Information
Can any of the company-specific risk be diversified away by investing in both GreenPower 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 GreenPower and Cass Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GreenPower Motor and Cass Information Systems, you can compare the effects of market volatilities on GreenPower 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 GreenPower with a short position of Cass Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of GreenPower and Cass Information.
Diversification Opportunities for GreenPower and Cass Information
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between GreenPower and Cass is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding GreenPower Motor 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 GreenPower 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 GreenPower Motor 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 GreenPower i.e., GreenPower and Cass Information go up and down completely randomly.
Pair Corralation between GreenPower and Cass Information
Allowing for the 90-day total investment horizon GreenPower Motor is expected to generate 4.43 times more return on investment than Cass Information. However, GreenPower is 4.43 times more volatile than Cass Information Systems. It trades about 0.06 of its potential returns per unit of risk. Cass Information Systems is currently generating about 0.04 per unit of risk. If you would invest 90.00 in GreenPower Motor on August 30, 2024 and sell it today you would earn a total of 11.00 from holding GreenPower Motor or generate 12.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
GreenPower Motor vs. Cass Information Systems
Performance |
Timeline |
GreenPower Motor |
Cass Information Systems |
GreenPower and Cass Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GreenPower and Cass Information
The main advantage of trading using opposite GreenPower and Cass Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GreenPower 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.GreenPower vs. Hyster Yale Materials Handling | GreenPower vs. Columbus McKinnon | GreenPower vs. AGCO Corporation | GreenPower vs. Titan International |
Cass Information vs. First Advantage Corp | Cass Information vs. Rentokil Initial PLC | Cass Information vs. CBIZ Inc | Cass Information vs. Civeo Corp |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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