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

0.44

Correlation Coefficient

SwissCom  Orange SA

Very weak diversification

The 3 months correlation between SwissCom and Orange is 0.44. 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 AG is expected to under-perform the Orange SA. But the pink sheet apears to be less risky and, when comparing its historical volatility, SwissCom AG is 3.64 times less risky than Orange SA. The pink sheet trades about -0.17 of its potential returns per unit of risk. The Orange SA is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest  1,130  in Orange SA on September 13, 2024 and sell it today you would lose (111.00) from holding Orange SA or give up 9.82% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	98.41%
Values	Daily Returns

SwissCom AG  vs.  Orange SA

SwissCom AG

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days SwissCom AG has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest weak performance, the Stock's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for the company investors.

Orange SA

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Orange SA has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable basic indicators, Orange SA is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.

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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.