Correlation Between Turkish Airlines and Celebi Hava
Can any of the company-specific risk be diversified away by investing in both Turkish Airlines and Celebi Hava 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 Celebi Hava into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Turkish Airlines and Celebi Hava Servisi, you can compare the effects of market volatilities on Turkish Airlines and Celebi Hava 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 Celebi Hava. Check out your portfolio center. Please also check ongoing floating volatility patterns of Turkish Airlines and Celebi Hava.
Diversification Opportunities for Turkish Airlines and Celebi Hava
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Turkish and Celebi is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Turkish Airlines and Celebi Hava Servisi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Celebi Hava Servisi 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 Celebi Hava. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Celebi Hava Servisi has no effect on the direction of Turkish Airlines i.e., Turkish Airlines and Celebi Hava go up and down completely randomly.
Pair Corralation between Turkish Airlines and Celebi Hava
Assuming the 90 days trading horizon Turkish Airlines is expected to generate 0.76 times more return on investment than Celebi Hava. However, Turkish Airlines is 1.31 times less risky than Celebi Hava. It trades about -0.01 of its potential returns per unit of risk. Celebi Hava Servisi is currently generating about -0.02 per unit of risk. If you would invest 29,600 in Turkish Airlines on September 23, 2024 and sell it today you would lose (625.00) from holding Turkish Airlines or give up 2.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Turkish Airlines vs. Celebi Hava Servisi
Performance |
Timeline |
Turkish Airlines |
Celebi Hava Servisi |
Turkish Airlines and Celebi Hava Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Turkish Airlines and Celebi Hava
The main advantage of trading using opposite Turkish Airlines and Celebi Hava positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Turkish Airlines position performs unexpectedly, Celebi Hava 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 Celebi Hava will offset losses from the drop in Celebi Hava's long position.Turkish Airlines vs. Eregli Demir ve | Turkish Airlines vs. Turkiye Petrol Rafinerileri | Turkish Airlines vs. Ford Otomotiv Sanayi | Turkish Airlines vs. Koc Holding AS |
Celebi Hava vs. Eregli Demir ve | Celebi Hava vs. Turkiye Petrol Rafinerileri | Celebi Hava vs. Turkish Airlines | Celebi Hava vs. Ford Otomotiv Sanayi |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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