Correlation Between Innodata and Cass Information
Can any of the company-specific risk be diversified away by investing in both Innodata 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 Innodata and Cass Information into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Innodata and Cass Information Systems, you can compare the effects of market volatilities on Innodata 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 Innodata with a short position of Cass Information. Check out your portfolio center. Please also check ongoing floating volatility patterns of Innodata and Cass Information.
Diversification Opportunities for Innodata and Cass Information
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Innodata and Cass is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Innodata 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 Innodata 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 Innodata 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 Innodata i.e., Innodata and Cass Information go up and down completely randomly.
Pair Corralation between Innodata and Cass Information
Given the investment horizon of 90 days Innodata is expected to generate 1.26 times less return on investment than Cass Information. In addition to that, Innodata is 4.69 times more volatile than Cass Information Systems. It trades about 0.01 of its total potential returns per unit of risk. Cass Information Systems is currently generating about 0.06 per unit of volatility. If you would invest 4,035 in Cass Information Systems on December 29, 2024 and sell it today you would earn a total of 213.00 from holding Cass Information Systems or generate 5.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Innodata vs. Cass Information Systems
Performance |
Timeline |
Innodata |
Cass Information Systems |
Innodata and Cass Information Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Innodata and Cass Information
The main advantage of trading using opposite Innodata and Cass Information positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Innodata 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.Innodata vs. ASGN Inc | Innodata vs. Formula Systems 1985 | Innodata vs. FiscalNote Holdings | Innodata vs. International Business Machines |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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