Correlation Between CGN Power and Cogent Communications
Can any of the company-specific risk be diversified away by investing in both CGN Power and Cogent Communications 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 CGN Power and Cogent Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CGN Power Co and Cogent Communications Holdings, you can compare the effects of market volatilities on CGN Power and Cogent Communications 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 CGN Power with a short position of Cogent Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of CGN Power and Cogent Communications.
Diversification Opportunities for CGN Power and Cogent Communications
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between CGN and Cogent is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding CGN Power Co and Cogent Communications Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cogent Communications and CGN Power 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 CGN Power Co are associated (or correlated) with Cogent Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cogent Communications has no effect on the direction of CGN Power i.e., CGN Power and Cogent Communications go up and down completely randomly.
Pair Corralation between CGN Power and Cogent Communications
Assuming the 90 days trading horizon CGN Power Co is expected to under-perform the Cogent Communications. In addition to that, CGN Power is 1.36 times more volatile than Cogent Communications Holdings. It trades about -0.06 of its total potential returns per unit of risk. Cogent Communications Holdings is currently generating about -0.07 per unit of volatility. If you would invest 7,047 in Cogent Communications Holdings on December 21, 2024 and sell it today you would lose (647.00) from holding Cogent Communications Holdings or give up 9.18% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CGN Power Co vs. Cogent Communications Holdings
Performance |
Timeline |
CGN Power |
Cogent Communications |
CGN Power and Cogent Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CGN Power and Cogent Communications
The main advantage of trading using opposite CGN Power and Cogent Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CGN Power position performs unexpectedly, Cogent Communications 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 Cogent Communications will offset losses from the drop in Cogent Communications' long position.CGN Power vs. BE Semiconductor Industries | CGN Power vs. ELMOS SEMICONDUCTOR | CGN Power vs. AIR PRODCHEMICALS | CGN Power vs. Brockhaus Capital Management |
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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 Valuation module to check real value of public entities based on technical and fundamental data.
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