Correlation Between EIS Eczacibasi and Petkim Petrokimya
Can any of the company-specific risk be diversified away by investing in both EIS Eczacibasi and Petkim Petrokimya 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 EIS Eczacibasi and Petkim Petrokimya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between EIS Eczacibasi Ilac and Petkim Petrokimya Holding, you can compare the effects of market volatilities on EIS Eczacibasi and Petkim Petrokimya 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 EIS Eczacibasi with a short position of Petkim Petrokimya. Check out your portfolio center. Please also check ongoing floating volatility patterns of EIS Eczacibasi and Petkim Petrokimya.
Diversification Opportunities for EIS Eczacibasi and Petkim Petrokimya
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between EIS and Petkim is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding EIS Eczacibasi Ilac and Petkim Petrokimya Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Petkim Petrokimya Holding and EIS Eczacibasi 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 EIS Eczacibasi Ilac are associated (or correlated) with Petkim Petrokimya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Petkim Petrokimya Holding has no effect on the direction of EIS Eczacibasi i.e., EIS Eczacibasi and Petkim Petrokimya go up and down completely randomly.
Pair Corralation between EIS Eczacibasi and Petkim Petrokimya
Assuming the 90 days trading horizon EIS Eczacibasi Ilac is expected to generate 1.07 times more return on investment than Petkim Petrokimya. However, EIS Eczacibasi is 1.07 times more volatile than Petkim Petrokimya Holding. It trades about 0.0 of its potential returns per unit of risk. Petkim Petrokimya Holding is currently generating about -0.03 per unit of risk. If you would invest 4,990 in EIS Eczacibasi Ilac on September 27, 2024 and sell it today you would lose (150.00) from holding EIS Eczacibasi Ilac or give up 3.01% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
EIS Eczacibasi Ilac vs. Petkim Petrokimya Holding
Performance |
Timeline |
EIS Eczacibasi Ilac |
Petkim Petrokimya Holding |
EIS Eczacibasi and Petkim Petrokimya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with EIS Eczacibasi and Petkim Petrokimya
The main advantage of trading using opposite EIS Eczacibasi and Petkim Petrokimya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if EIS Eczacibasi position performs unexpectedly, Petkim Petrokimya 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 Petkim Petrokimya will offset losses from the drop in Petkim Petrokimya's long position.EIS Eczacibasi vs. Petkim Petrokimya Holding | EIS Eczacibasi vs. Tekfen Holding AS | EIS Eczacibasi vs. Alarko Holding AS | EIS Eczacibasi vs. Tofas Turk Otomobil |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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