Correlation Between Aegean Airlines and Shionogi
Can any of the company-specific risk be diversified away by investing in both Aegean Airlines and Shionogi 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 Shionogi 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 Shionogi Co, you can compare the effects of market volatilities on Aegean Airlines and Shionogi 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 Shionogi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aegean Airlines and Shionogi.
Diversification Opportunities for Aegean Airlines and Shionogi
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Aegean and Shionogi is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Aegean Airlines SA and Shionogi Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shionogi 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 Shionogi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shionogi has no effect on the direction of Aegean Airlines i.e., Aegean Airlines and Shionogi go up and down completely randomly.
Pair Corralation between Aegean Airlines and Shionogi
Assuming the 90 days horizon Aegean Airlines SA is expected to under-perform the Shionogi. In addition to that, Aegean Airlines is 1.04 times more volatile than Shionogi Co. It trades about -0.04 of its total potential returns per unit of risk. Shionogi Co is currently generating about 0.06 per unit of volatility. If you would invest 1,260 in Shionogi Co on October 3, 2024 and sell it today you would earn a total of 60.00 from holding Shionogi Co or generate 4.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Aegean Airlines SA vs. Shionogi Co
Performance |
Timeline |
Aegean Airlines SA |
Shionogi |
Aegean Airlines and Shionogi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aegean Airlines and Shionogi
The main advantage of trading using opposite Aegean Airlines and Shionogi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aegean Airlines position performs unexpectedly, Shionogi 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 Shionogi will offset losses from the drop in Shionogi's long position.The idea behind Aegean Airlines SA and Shionogi Co pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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