Correlation Between Cogent Communications and Japan Steel
Can any of the company-specific risk be diversified away by investing in both Cogent Communications and Japan Steel 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 Japan Steel 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 The Japan Steel, you can compare the effects of market volatilities on Cogent Communications and Japan Steel 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 Japan Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cogent Communications and Japan Steel.
Diversification Opportunities for Cogent Communications and Japan Steel
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Cogent and Japan is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Cogent Communications Holdings and The Japan Steel in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Japan Steel 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 Japan Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Japan Steel has no effect on the direction of Cogent Communications i.e., Cogent Communications and Japan Steel go up and down completely randomly.
Pair Corralation between Cogent Communications and Japan Steel
Assuming the 90 days trading horizon Cogent Communications Holdings is expected to generate 0.72 times more return on investment than Japan Steel. However, Cogent Communications Holdings is 1.38 times less risky than Japan Steel. It trades about -0.08 of its potential returns per unit of risk. The Japan Steel is currently generating about -0.14 per unit of risk. If you would invest 7,200 in Cogent Communications Holdings on October 11, 2024 and sell it today you would lose (200.00) from holding Cogent Communications Holdings or give up 2.78% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cogent Communications Holdings vs. The Japan Steel
Performance |
Timeline |
Cogent Communications |
Japan Steel |
Cogent Communications and Japan Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cogent Communications and Japan Steel
The main advantage of trading using opposite Cogent Communications and Japan Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cogent Communications position performs unexpectedly, Japan Steel 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 Japan Steel will offset losses from the drop in Japan Steel's long position.Cogent Communications vs. NTT DATA | Cogent Communications vs. TERADATA | Cogent Communications vs. Alliance Data Systems | Cogent Communications vs. MICRONIC MYDATA |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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