Correlation Between CSP and Information Services
Can any of the company-specific risk be diversified away by investing in both CSP and Information Services 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 CSP and Information Services into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CSP Inc and Information Services Group, you can compare the effects of market volatilities on CSP and Information Services 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 CSP with a short position of Information Services. Check out your portfolio center. Please also check ongoing floating volatility patterns of CSP and Information Services.
Diversification Opportunities for CSP and Information Services
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between CSP and Information is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding CSP Inc and Information Services Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Information Services and CSP 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 CSP Inc are associated (or correlated) with Information Services. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Information Services has no effect on the direction of CSP i.e., CSP and Information Services go up and down completely randomly.
Pair Corralation between CSP and Information Services
Given the investment horizon of 90 days CSP Inc is expected to under-perform the Information Services. In addition to that, CSP is 1.59 times more volatile than Information Services Group. It trades about -0.02 of its total potential returns per unit of risk. Information Services Group is currently generating about 0.14 per unit of volatility. If you would invest 330.00 in Information Services Group on December 29, 2024 and sell it today you would earn a total of 70.00 from holding Information Services Group or generate 21.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CSP Inc vs. Information Services Group
Performance |
Timeline |
CSP Inc |
Information Services |
CSP and Information Services Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CSP and Information Services
The main advantage of trading using opposite CSP and Information Services positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CSP position performs unexpectedly, Information Services 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 Information Services will offset losses from the drop in Information Services' long position.CSP vs. The Hackett Group | CSP vs. Nayax | CSP vs. Formula Systems 1985 | CSP vs. Information Services Group |
Information Services vs. Formula Systems 1985 | Information Services vs. CSP Inc | Information Services vs. Nayax | Information Services vs. The Hackett Group |
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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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