Correlation Between Orange SA and Keyrus SA
Can any of the company-specific risk be diversified away by investing in both Orange SA and Keyrus 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 Orange SA and Keyrus SA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Orange SA and Keyrus SA, you can compare the effects of market volatilities on Orange SA and Keyrus 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 Orange SA with a short position of Keyrus SA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Orange SA and Keyrus SA.
Diversification Opportunities for Orange SA and Keyrus SA
Poor diversification
The 3 months correlation between Orange and Keyrus is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Orange SA and Keyrus SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Keyrus SA and Orange SA 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 Orange SA are associated (or correlated) with Keyrus SA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Keyrus SA has no effect on the direction of Orange SA i.e., Orange SA and Keyrus SA go up and down completely randomly.
Pair Corralation between Orange SA and Keyrus SA
Assuming the 90 days trading horizon Orange SA is expected to under-perform the Keyrus SA. But the stock apears to be less risky and, when comparing its historical volatility, Orange SA is 2.8 times less risky than Keyrus SA. The stock trades about -0.02 of its potential returns per unit of risk. The Keyrus SA is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 664.00 in Keyrus SA on September 2, 2024 and sell it today you would earn a total of 132.00 from holding Keyrus SA or generate 19.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Orange SA vs. Keyrus SA
Performance |
Timeline |
Orange SA |
Keyrus SA |
Orange SA and Keyrus SA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Orange SA and Keyrus SA
The main advantage of trading using opposite Orange SA and Keyrus SA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Orange SA position performs unexpectedly, Keyrus 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 Keyrus SA will offset losses from the drop in Keyrus SA's long position.The idea behind Orange SA and Keyrus 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.Keyrus SA vs. Infotel SA | Keyrus SA vs. IT Link | Keyrus SA vs. Bourse Direct SA | Keyrus SA vs. Aubay Socit Anonyme |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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