Correlation Between Air France and Metalliance
Can any of the company-specific risk be diversified away by investing in both Air France and Metalliance 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 Air France and Metalliance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Air France KLM SA and Metalliance SA, you can compare the effects of market volatilities on Air France and Metalliance 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 Air France with a short position of Metalliance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Air France and Metalliance.
Diversification Opportunities for Air France and Metalliance
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Air and Metalliance is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Air France KLM SA and Metalliance SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metalliance SA and Air France 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 Air France KLM SA are associated (or correlated) with Metalliance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metalliance SA has no effect on the direction of Air France i.e., Air France and Metalliance go up and down completely randomly.
Pair Corralation between Air France and Metalliance
Assuming the 90 days horizon Air France KLM SA is expected to under-perform the Metalliance. But the stock apears to be less risky and, when comparing its historical volatility, Air France KLM SA is 1.63 times less risky than Metalliance. The stock trades about -0.03 of its potential returns per unit of risk. The Metalliance SA is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 1,270 in Metalliance SA on August 29, 2024 and sell it today you would lose (420.00) from holding Metalliance SA or give up 33.07% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 97.23% |
| Values | Daily Returns |
Air France KLM SA vs. Metalliance SA
Performance |
| Timeline |
| Air France KLM |
| Metalliance SA |
Air France and Metalliance Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Air France and Metalliance
The main advantage of trading using opposite Air France and Metalliance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Air France position performs unexpectedly, Metalliance 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 Metalliance will offset losses from the drop in Metalliance's long position.| Air France vs. Covivio Hotels | Air France vs. Invibes Advertising NV | Air France vs. Broadpeak SA | Air France vs. Union Technologies Informatique |
| Metalliance vs. ZCCM Investments Holdings | Metalliance vs. Jacquet Metal Service | Metalliance vs. DONTNOD Entertainment SA | Metalliance vs. Impulse Fitness Solutions |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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