Correlation Between Airtel Africa and APT Satellite
Can any of the company-specific risk be diversified away by investing in both Airtel Africa and APT Satellite 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 Airtel Africa and APT Satellite into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Airtel Africa Plc and APT Satellite Holdings, you can compare the effects of market volatilities on Airtel Africa and APT Satellite 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 Airtel Africa with a short position of APT Satellite. Check out your portfolio center. Please also check ongoing floating volatility patterns of Airtel Africa and APT Satellite.
Diversification Opportunities for Airtel Africa and APT Satellite
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Airtel and APT is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Airtel Africa Plc and APT Satellite Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on APT Satellite Holdings and Airtel Africa 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 Airtel Africa Plc are associated (or correlated) with APT Satellite. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of APT Satellite Holdings has no effect on the direction of Airtel Africa i.e., Airtel Africa and APT Satellite go up and down completely randomly.
Pair Corralation between Airtel Africa and APT Satellite
Assuming the 90 days horizon Airtel Africa is expected to generate 5.89 times less return on investment than APT Satellite. But when comparing it to its historical volatility, Airtel Africa Plc is 1.6 times less risky than APT Satellite. It trades about 0.01 of its potential returns per unit of risk. APT Satellite Holdings is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 24.00 in APT Satellite Holdings on August 26, 2024 and sell it today you would earn a total of 4.00 from holding APT Satellite Holdings or generate 16.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 45.47% |
Values | Daily Returns |
Airtel Africa Plc vs. APT Satellite Holdings
Performance |
Timeline |
Airtel Africa Plc |
APT Satellite Holdings |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Airtel Africa and APT Satellite Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Airtel Africa and APT Satellite
The main advantage of trading using opposite Airtel Africa and APT Satellite positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Airtel Africa position performs unexpectedly, APT Satellite 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 APT Satellite will offset losses from the drop in APT Satellite's long position.Airtel Africa vs. BCE Inc | Airtel Africa vs. Axiologix | Airtel Africa vs. Advanced Info Service | Airtel Africa vs. American Nortel Communications |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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