Correlation Between Aeroports and Saker Aviation
Can any of the company-specific risk be diversified away by investing in both Aeroports and Saker Aviation 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 Aeroports and Saker Aviation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aeroports de Paris and Saker Aviation Services, you can compare the effects of market volatilities on Aeroports and Saker Aviation 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 Aeroports with a short position of Saker Aviation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aeroports and Saker Aviation.
Diversification Opportunities for Aeroports and Saker Aviation
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Aeroports and Saker is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Aeroports de Paris and Saker Aviation Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Saker Aviation Services and Aeroports 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 Aeroports de Paris are associated (or correlated) with Saker Aviation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Saker Aviation Services has no effect on the direction of Aeroports i.e., Aeroports and Saker Aviation go up and down completely randomly.
Pair Corralation between Aeroports and Saker Aviation
Assuming the 90 days horizon Aeroports de Paris is expected to under-perform the Saker Aviation. But the pink sheet apears to be less risky and, when comparing its historical volatility, Aeroports de Paris is 1.27 times less risky than Saker Aviation. The pink sheet trades about -0.11 of its potential returns per unit of risk. The Saker Aviation Services is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 728.00 in Saker Aviation Services on December 29, 2024 and sell it today you would earn a total of 42.00 from holding Saker Aviation Services or generate 5.77% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Aeroports de Paris vs. Saker Aviation Services
Performance |
Timeline |
Aeroports de Paris |
Saker Aviation Services |
Aeroports and Saker Aviation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aeroports and Saker Aviation
The main advantage of trading using opposite Aeroports and Saker Aviation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aeroports position performs unexpectedly, Saker Aviation 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 Saker Aviation will offset losses from the drop in Saker Aviation's long position.Aeroports vs. Auckland International Airport | Aeroports vs. Aena SME SA | Aeroports vs. Aena SME SA | Aeroports vs. Airports of Thailand |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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