Correlation Between Turkish Airlines and Yesil Yatirim
Can any of the company-specific risk be diversified away by investing in both Turkish Airlines and Yesil Yatirim 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 Turkish Airlines and Yesil Yatirim into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Turkish Airlines and Yesil Yatirim Holding, you can compare the effects of market volatilities on Turkish Airlines and Yesil Yatirim 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 Turkish Airlines with a short position of Yesil Yatirim. Check out your portfolio center. Please also check ongoing floating volatility patterns of Turkish Airlines and Yesil Yatirim.
Diversification Opportunities for Turkish Airlines and Yesil Yatirim
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Turkish and Yesil is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Turkish Airlines and Yesil Yatirim Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yesil Yatirim Holding and Turkish 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 Turkish Airlines are associated (or correlated) with Yesil Yatirim. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yesil Yatirim Holding has no effect on the direction of Turkish Airlines i.e., Turkish Airlines and Yesil Yatirim go up and down completely randomly.
Pair Corralation between Turkish Airlines and Yesil Yatirim
Assuming the 90 days trading horizon Turkish Airlines is expected to generate 0.58 times more return on investment than Yesil Yatirim. However, Turkish Airlines is 1.72 times less risky than Yesil Yatirim. It trades about 0.08 of its potential returns per unit of risk. Yesil Yatirim Holding is currently generating about -0.11 per unit of risk. If you would invest 28,225 in Turkish Airlines on December 29, 2024 and sell it today you would earn a total of 2,875 from holding Turkish Airlines or generate 10.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.46% |
Values | Daily Returns |
Turkish Airlines vs. Yesil Yatirim Holding
Performance |
Timeline |
Turkish Airlines |
Yesil Yatirim Holding |
Turkish Airlines and Yesil Yatirim Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Turkish Airlines and Yesil Yatirim
The main advantage of trading using opposite Turkish Airlines and Yesil Yatirim positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Turkish Airlines position performs unexpectedly, Yesil Yatirim 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 Yesil Yatirim will offset losses from the drop in Yesil Yatirim's long position.Turkish Airlines vs. Aselsan Elektronik Sanayi | Turkish Airlines vs. Turkiye Petrol Rafinerileri | Turkish Airlines vs. Pegasus Hava Tasimaciligi | Turkish Airlines vs. Turkiye Sise ve |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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