Correlation Between Aegean Airlines and Santander Bank
Can any of the company-specific risk be diversified away by investing in both Aegean Airlines and Santander Bank 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 Santander Bank 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 Santander Bank Polska, you can compare the effects of market volatilities on Aegean Airlines and Santander Bank 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 Santander Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aegean Airlines and Santander Bank.
Diversification Opportunities for Aegean Airlines and Santander Bank
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Aegean and Santander is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Aegean Airlines SA and Santander Bank Polska in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Santander Bank Polska 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 Santander Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Santander Bank Polska has no effect on the direction of Aegean Airlines i.e., Aegean Airlines and Santander Bank go up and down completely randomly.
Pair Corralation between Aegean Airlines and Santander Bank
Assuming the 90 days horizon Aegean Airlines is expected to generate 1.38 times less return on investment than Santander Bank. But when comparing it to its historical volatility, Aegean Airlines SA is 1.33 times less risky than Santander Bank. It trades about 0.14 of its potential returns per unit of risk. Santander Bank Polska is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 10,065 in Santander Bank Polska on September 29, 2024 and sell it today you would earn a total of 620.00 from holding Santander Bank Polska or generate 6.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aegean Airlines SA vs. Santander Bank Polska
Performance |
Timeline |
Aegean Airlines SA |
Santander Bank Polska |
Aegean Airlines and Santander Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aegean Airlines and Santander Bank
The main advantage of trading using opposite Aegean Airlines and Santander Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aegean Airlines position performs unexpectedly, Santander Bank 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 Santander Bank will offset losses from the drop in Santander Bank's long position.Aegean Airlines vs. CREDIT AGRICOLE | Aegean Airlines vs. OAKTRSPECLENDNEW | Aegean Airlines vs. TFS FINANCIAL | Aegean Airlines vs. Carsales |
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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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