Correlation Between Swisscom and Orange SA

Can any of the company-specific risk be diversified away by investing in both Swisscom and Orange SA 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 Orange SA into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Swisscom AG and Orange SA, you can compare the effects of market volatilities on Swisscom and Orange SA 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 Orange SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Swisscom and Orange SA.

Diversification Opportunities for Swisscom and Orange SA

0.71

Correlation Coefficient

Swisscom  Orange SA

Poor diversification

The 3 months correlation between Swisscom and Orange is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Swisscom AG and Orange SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Orange SA 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 Orange SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Orange SA has no effect on the direction of Swisscom i.e., Swisscom and Orange SA go up and down completely randomly.

Pair Corralation between Swisscom and Orange SA

Assuming the 90 days horizon Swisscom is expected to generate 2.14 times less return on investment than Orange SA. But when comparing it to its historical volatility, Swisscom AG is 2.1 times less risky than Orange SA. It trades about 0.16 of its potential returns per unit of risk. Orange SA is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest  1,317  in Orange SA on May 15, 2025 and sell it today you would earn a total of  350.00  from holding Orange SA or generate 26.58% 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.  Orange SA

Swisscom AG

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Swisscom AG are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. Despite nearly fragile fundamental indicators, Swisscom may actually be approaching a critical reversion point that can send shares even higher in September 2025.

Orange SA

Risk-Adjusted Performance

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Orange SA are ranked lower than 12 (%) of all global equities and portfolios over the last 90 days. Despite nearly conflicting basic indicators, Orange SA reported solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Swisscom and Orange SA

The main advantage of trading using opposite Swisscom and Orange SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Swisscom position performs unexpectedly, Orange SA 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 Orange SA will offset losses from the drop in Orange SA's long position.

The idea behind Swisscom AG and Orange SA pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.