Correlation Between Alibaba Group and Cogent Communications
Can any of the company-specific risk be diversified away by investing in both Alibaba Group 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 Alibaba Group and Cogent Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alibaba Group Holding and Cogent Communications Group, you can compare the effects of market volatilities on Alibaba Group 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 Alibaba Group with a short position of Cogent Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alibaba Group and Cogent Communications.
Diversification Opportunities for Alibaba Group and Cogent Communications
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Alibaba and Cogent is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Alibaba Group Holding and Cogent Communications Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cogent Communications and Alibaba Group 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 Alibaba Group Holding 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 Alibaba Group i.e., Alibaba Group and Cogent Communications go up and down completely randomly.
Pair Corralation between Alibaba Group and Cogent Communications
Given the investment horizon of 90 days Alibaba Group Holding is expected to under-perform the Cogent Communications. In addition to that, Alibaba Group is 1.29 times more volatile than Cogent Communications Group. It trades about -0.1 of its total potential returns per unit of risk. Cogent Communications Group is currently generating about -0.09 per unit of volatility. If you would invest 8,131 in Cogent Communications Group on October 23, 2024 and sell it today you would lose (774.00) from holding Cogent Communications Group or give up 9.52% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Alibaba Group Holding vs. Cogent Communications Group
Performance |
Timeline |
Alibaba Group Holding |
Cogent Communications |
Alibaba Group and Cogent Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alibaba Group and Cogent Communications
The main advantage of trading using opposite Alibaba Group and Cogent Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alibaba Group 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.Alibaba Group vs. PDD Holdings | Alibaba Group vs. MercadoLibre | Alibaba Group vs. JD Inc Adr | Alibaba Group vs. Sea |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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