Correlation Between Turkish Airlines and Ayes Celik
Can any of the company-specific risk be diversified away by investing in both Turkish Airlines and Ayes Celik 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 Ayes Celik into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Turkish Airlines and Ayes Celik Hasir, you can compare the effects of market volatilities on Turkish Airlines and Ayes Celik 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 Ayes Celik. Check out your portfolio center. Please also check ongoing floating volatility patterns of Turkish Airlines and Ayes Celik.
Diversification Opportunities for Turkish Airlines and Ayes Celik
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Turkish and Ayes is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Turkish Airlines and Ayes Celik Hasir in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ayes Celik Hasir 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 Ayes Celik. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ayes Celik Hasir has no effect on the direction of Turkish Airlines i.e., Turkish Airlines and Ayes Celik go up and down completely randomly.
Pair Corralation between Turkish Airlines and Ayes Celik
Assuming the 90 days trading horizon Turkish Airlines is expected to generate 0.67 times more return on investment than Ayes Celik. However, Turkish Airlines is 1.5 times less risky than Ayes Celik. It trades about 0.05 of its potential returns per unit of risk. Ayes Celik Hasir is currently generating about -0.03 per unit of risk. If you would invest 28,625 in Turkish Airlines on September 12, 2024 and sell it today you would earn a total of 1,500 from holding Turkish Airlines or generate 5.24% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Turkish Airlines vs. Ayes Celik Hasir
Performance |
| Timeline |
| Turkish Airlines |
| Ayes Celik Hasir |
Turkish Airlines and Ayes Celik Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Turkish Airlines and Ayes Celik
The main advantage of trading using opposite Turkish Airlines and Ayes Celik positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Turkish Airlines position performs unexpectedly, Ayes Celik 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 Ayes Celik will offset losses from the drop in Ayes Celik'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 |
| Ayes Celik vs. ICBC Turkey Bank | Ayes Celik vs. Bms Birlesik Metal | Ayes Celik vs. Koza Anadolu Metal | Ayes Celik vs. Gentas Genel Metal |
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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