Correlation Between Power Financial and Computer Modelling
Can any of the company-specific risk be diversified away by investing in both Power Financial and Computer Modelling 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 Power Financial and Computer Modelling into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Power Financial Corp and Computer Modelling Group, you can compare the effects of market volatilities on Power Financial and Computer Modelling 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 Power Financial with a short position of Computer Modelling. Check out your portfolio center. Please also check ongoing floating volatility patterns of Power Financial and Computer Modelling.
Diversification Opportunities for Power Financial and Computer Modelling
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Power and Computer is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Power Financial Corp and Computer Modelling Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Computer Modelling and Power Financial 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 Power Financial Corp are associated (or correlated) with Computer Modelling. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Computer Modelling has no effect on the direction of Power Financial i.e., Power Financial and Computer Modelling go up and down completely randomly.
Pair Corralation between Power Financial and Computer Modelling
Assuming the 90 days trading horizon Power Financial Corp is expected to generate 0.09 times more return on investment than Computer Modelling. However, Power Financial Corp is 11.28 times less risky than Computer Modelling. It trades about 0.24 of its potential returns per unit of risk. Computer Modelling Group is currently generating about -0.08 per unit of risk. If you would invest 2,436 in Power Financial Corp on July 8, 2025 and sell it today you would earn a total of 103.00 from holding Power Financial Corp or generate 4.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Power Financial Corp vs. Computer Modelling Group
Performance |
Timeline |
Power Financial Corp |
Computer Modelling |
Power Financial and Computer Modelling Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Power Financial and Computer Modelling
The main advantage of trading using opposite Power Financial and Computer Modelling positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Power Financial position performs unexpectedly, Computer Modelling 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 Computer Modelling will offset losses from the drop in Computer Modelling's long position.Power Financial vs. Perseus Mining | Power Financial vs. Mako Mining Corp | Power Financial vs. Montauk Metals | Power Financial vs. NeXGold Mining 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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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