Correlation Between Aegean Airlines and Interlife General
Can any of the company-specific risk be diversified away by investing in both Aegean Airlines and Interlife General 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 Aegean Airlines and Interlife General into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aegean Airlines SA and Interlife General Insurance, you can compare the effects of market volatilities on Aegean Airlines and Interlife General 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 Aegean Airlines with a short position of Interlife General. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aegean Airlines and Interlife General.
Diversification Opportunities for Aegean Airlines and Interlife General
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Aegean and Interlife is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Aegean Airlines SA and Interlife General Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Interlife General and Aegean Airlines 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 Aegean Airlines SA are associated (or correlated) with Interlife General. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Interlife General has no effect on the direction of Aegean Airlines i.e., Aegean Airlines and Interlife General go up and down completely randomly.
Pair Corralation between Aegean Airlines and Interlife General
Assuming the 90 days trading horizon Aegean Airlines SA is expected to generate 1.39 times more return on investment than Interlife General. However, Aegean Airlines is 1.39 times more volatile than Interlife General Insurance. It trades about 0.07 of its potential returns per unit of risk. Interlife General Insurance is currently generating about 0.07 per unit of risk. If you would invest 1,180 in Aegean Airlines SA on April 25, 2025 and sell it today you would earn a total of 92.00 from holding Aegean Airlines SA or generate 7.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.41% |
Values | Daily Returns |
Aegean Airlines SA vs. Interlife General Insurance
Performance |
Timeline |
Aegean Airlines SA |
Interlife General |
Aegean Airlines and Interlife General Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aegean Airlines and Interlife General
The main advantage of trading using opposite Aegean Airlines and Interlife General positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aegean Airlines position performs unexpectedly, Interlife General 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 Interlife General will offset losses from the drop in Interlife General's long position.Aegean Airlines vs. Mytilineos SA | Aegean Airlines vs. Greek Organization of | Aegean Airlines vs. Motor Oil Corinth | Aegean Airlines vs. Alpha Services and |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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