Correlation Between Aksa Enerji and Ford Otomotiv
Can any of the company-specific risk be diversified away by investing in both Aksa Enerji and Ford Otomotiv 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 Aksa Enerji and Ford Otomotiv into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Aksa Enerji Uretim and Ford Otomotiv Sanayi, you can compare the effects of market volatilities on Aksa Enerji and Ford Otomotiv 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 Aksa Enerji with a short position of Ford Otomotiv. Check out your portfolio center. Please also check ongoing floating volatility patterns of Aksa Enerji and Ford Otomotiv.
Diversification Opportunities for Aksa Enerji and Ford Otomotiv
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Aksa and Ford is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Aksa Enerji Uretim and Ford Otomotiv Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ford Otomotiv Sanayi and Aksa Enerji 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 Aksa Enerji Uretim are associated (or correlated) with Ford Otomotiv. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ford Otomotiv Sanayi has no effect on the direction of Aksa Enerji i.e., Aksa Enerji and Ford Otomotiv go up and down completely randomly.
Pair Corralation between Aksa Enerji and Ford Otomotiv
Assuming the 90 days trading horizon Aksa Enerji Uretim is expected to generate 1.03 times more return on investment than Ford Otomotiv. However, Aksa Enerji is 1.03 times more volatile than Ford Otomotiv Sanayi. It trades about -0.01 of its potential returns per unit of risk. Ford Otomotiv Sanayi is currently generating about -0.04 per unit of risk. If you would invest 4,300 in Aksa Enerji Uretim on October 20, 2024 and sell it today you would lose (232.00) from holding Aksa Enerji Uretim or give up 5.4% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Aksa Enerji Uretim vs. Ford Otomotiv Sanayi
Performance |
Timeline |
Aksa Enerji Uretim |
Ford Otomotiv Sanayi |
Aksa Enerji and Ford Otomotiv Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Aksa Enerji and Ford Otomotiv
The main advantage of trading using opposite Aksa Enerji and Ford Otomotiv positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Aksa Enerji position performs unexpectedly, Ford Otomotiv 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 Ford Otomotiv will offset losses from the drop in Ford Otomotiv's long position.Aksa Enerji vs. Aksa Akrilik Kimya | Aksa Enerji vs. Turkiye Sise ve | Aksa Enerji vs. Hektas Ticaret TAS | Aksa Enerji vs. SASA Polyester Sanayi |
Ford Otomotiv vs. Eregli Demir ve | Ford Otomotiv vs. Tofas Turk Otomobil | Ford Otomotiv vs. Turkiye Petrol Rafinerileri | Ford Otomotiv vs. Turkiye Sise ve |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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