Correlation Between SwissCom and Compagnie Generale
Can any of the company-specific risk be diversified away by investing in both SwissCom and Compagnie Generale 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 SwissCom and Compagnie Generale into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SwissCom AG and Compagnie Generale des, you can compare the effects of market volatilities on SwissCom and Compagnie Generale 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 SwissCom with a short position of Compagnie Generale. Check out your portfolio center. Please also check ongoing floating volatility patterns of SwissCom and Compagnie Generale.
Diversification Opportunities for SwissCom and Compagnie Generale
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SwissCom and Compagnie is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding SwissCom AG and Compagnie Generale des in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Compagnie Generale des and SwissCom 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 SwissCom AG are associated (or correlated) with Compagnie Generale. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Compagnie Generale des has no effect on the direction of SwissCom i.e., SwissCom and Compagnie Generale go up and down completely randomly.
Pair Corralation between SwissCom and Compagnie Generale
Assuming the 90 days horizon SwissCom AG is expected to under-perform the Compagnie Generale. But the pink sheet apears to be less risky and, when comparing its historical volatility, SwissCom AG is 1.11 times less risky than Compagnie Generale. The pink sheet trades about -0.18 of its potential returns per unit of risk. The Compagnie Generale des is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,675 in Compagnie Generale des on October 24, 2024 and sell it today you would earn a total of 45.00 from holding Compagnie Generale des or generate 2.69% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SwissCom AG vs. Compagnie Generale des
Performance |
Timeline |
SwissCom AG |
Compagnie Generale des |
SwissCom and Compagnie Generale Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SwissCom and Compagnie Generale
The main advantage of trading using opposite SwissCom and Compagnie Generale positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SwissCom position performs unexpectedly, Compagnie Generale 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 Compagnie Generale will offset losses from the drop in Compagnie Generale's long position.SwissCom vs. Telecom Argentina SA | SwissCom vs. Rogers Communications | SwissCom vs. Magyar Telekom Plc | SwissCom vs. Hellenic Telecommunications Org |
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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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