Correlation Between Cogent Communications and DATA MODUL
Can any of the company-specific risk be diversified away by investing in both Cogent Communications and DATA MODUL 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 Cogent Communications and DATA MODUL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cogent Communications Holdings and DATA MODUL , you can compare the effects of market volatilities on Cogent Communications and DATA MODUL 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 Cogent Communications with a short position of DATA MODUL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cogent Communications and DATA MODUL.
Diversification Opportunities for Cogent Communications and DATA MODUL
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Cogent and DATA is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Cogent Communications Holdings and DATA MODUL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATA MODUL and Cogent Communications 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 Cogent Communications Holdings are associated (or correlated) with DATA MODUL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATA MODUL has no effect on the direction of Cogent Communications i.e., Cogent Communications and DATA MODUL go up and down completely randomly.
Pair Corralation between Cogent Communications and DATA MODUL
Assuming the 90 days trading horizon Cogent Communications Holdings is expected to generate 1.01 times more return on investment than DATA MODUL. However, Cogent Communications is 1.01 times more volatile than DATA MODUL . It trades about 0.03 of its potential returns per unit of risk. DATA MODUL is currently generating about -0.04 per unit of risk. If you would invest 7,258 in Cogent Communications Holdings on October 6, 2024 and sell it today you would earn a total of 92.00 from holding Cogent Communications Holdings or generate 1.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cogent Communications Holdings vs. DATA MODUL
Performance |
Timeline |
Cogent Communications |
DATA MODUL |
Cogent Communications and DATA MODUL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cogent Communications and DATA MODUL
The main advantage of trading using opposite Cogent Communications and DATA MODUL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cogent Communications position performs unexpectedly, DATA MODUL 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 DATA MODUL will offset losses from the drop in DATA MODUL's long position.Cogent Communications vs. Eagle Materials | Cogent Communications vs. Grupo Carso SAB | Cogent Communications vs. CarsalesCom | Cogent Communications vs. Compagnie Plastic Omnium |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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