Correlation Between Turkiye Petrol and Zorlu Enerji
Can any of the company-specific risk be diversified away by investing in both Turkiye Petrol and Zorlu Enerji 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 Turkiye Petrol and Zorlu Enerji into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Turkiye Petrol Rafinerileri and Zorlu Enerji Elektrik, you can compare the effects of market volatilities on Turkiye Petrol and Zorlu Enerji 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 Turkiye Petrol with a short position of Zorlu Enerji. Check out your portfolio center. Please also check ongoing floating volatility patterns of Turkiye Petrol and Zorlu Enerji.
Diversification Opportunities for Turkiye Petrol and Zorlu Enerji
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Turkiye and Zorlu is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Turkiye Petrol Rafinerileri and Zorlu Enerji Elektrik in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Zorlu Enerji Elektrik and Turkiye Petrol 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 Turkiye Petrol Rafinerileri are associated (or correlated) with Zorlu Enerji. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Zorlu Enerji Elektrik has no effect on the direction of Turkiye Petrol i.e., Turkiye Petrol and Zorlu Enerji go up and down completely randomly.
Pair Corralation between Turkiye Petrol and Zorlu Enerji
Assuming the 90 days trading horizon Turkiye Petrol Rafinerileri is expected to generate 0.74 times more return on investment than Zorlu Enerji. However, Turkiye Petrol Rafinerileri is 1.36 times less risky than Zorlu Enerji. It trades about -0.04 of its potential returns per unit of risk. Zorlu Enerji Elektrik is currently generating about -0.08 per unit of risk. If you would invest 15,955 in Turkiye Petrol Rafinerileri on September 22, 2024 and sell it today you would lose (1,405) from holding Turkiye Petrol Rafinerileri or give up 8.81% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Turkiye Petrol Rafinerileri vs. Zorlu Enerji Elektrik
Performance |
Timeline |
Turkiye Petrol Rafin |
Zorlu Enerji Elektrik |
Turkiye Petrol and Zorlu Enerji Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Turkiye Petrol and Zorlu Enerji
The main advantage of trading using opposite Turkiye Petrol and Zorlu Enerji positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Turkiye Petrol position performs unexpectedly, Zorlu Enerji 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 Zorlu Enerji will offset losses from the drop in Zorlu Enerji's long position.Turkiye Petrol vs. Ege Endustri ve | Turkiye Petrol vs. Borusan Yatirim ve | Turkiye Petrol vs. Turkish Airlines | Turkiye Petrol vs. Pegasus Hava Tasimaciligi |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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