Correlation Between Profile Systems and CPI Computer
Can any of the company-specific risk be diversified away by investing in both Profile Systems and CPI Computer 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 Profile Systems and CPI Computer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Profile Systems Software and CPI Computer Peripherals, you can compare the effects of market volatilities on Profile Systems and CPI Computer 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 Profile Systems with a short position of CPI Computer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Profile Systems and CPI Computer.
Diversification Opportunities for Profile Systems and CPI Computer
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Profile and CPI is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Profile Systems Software and CPI Computer Peripherals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CPI Computer Peripherals and Profile Systems 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 Profile Systems Software are associated (or correlated) with CPI Computer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CPI Computer Peripherals has no effect on the direction of Profile Systems i.e., Profile Systems and CPI Computer go up and down completely randomly.
Pair Corralation between Profile Systems and CPI Computer
Assuming the 90 days trading horizon Profile Systems Software is expected to generate 0.46 times more return on investment than CPI Computer. However, Profile Systems Software is 2.15 times less risky than CPI Computer. It trades about 0.34 of its potential returns per unit of risk. CPI Computer Peripherals is currently generating about 0.09 per unit of risk. If you would invest 554.00 in Profile Systems Software on April 24, 2025 and sell it today you would earn a total of 204.00 from holding Profile Systems Software or generate 36.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Profile Systems Software vs. CPI Computer Peripherals
Performance |
Timeline |
Profile Systems Software |
CPI Computer Peripherals |
Profile Systems and CPI Computer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Profile Systems and CPI Computer
The main advantage of trading using opposite Profile Systems and CPI Computer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Profile Systems position performs unexpectedly, CPI Computer 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 CPI Computer will offset losses from the drop in CPI Computer's long position.Profile Systems vs. Mytilineos SA | Profile Systems vs. Public Power | Profile Systems vs. Autohellas SA | Profile Systems vs. Quest Holdings SA |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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