Correlation Between ODAS Elektrik and Aksa Enerji
Can any of the company-specific risk be diversified away by investing in both ODAS Elektrik and Aksa 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 ODAS Elektrik and Aksa Enerji into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ODAS Elektrik Uretim and Aksa Enerji Uretim, you can compare the effects of market volatilities on ODAS Elektrik and Aksa 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 ODAS Elektrik with a short position of Aksa Enerji. Check out your portfolio center. Please also check ongoing floating volatility patterns of ODAS Elektrik and Aksa Enerji.
Diversification Opportunities for ODAS Elektrik and Aksa Enerji
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between ODAS and Aksa is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding ODAS Elektrik Uretim and Aksa Enerji Uretim in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aksa Enerji Uretim and ODAS Elektrik 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 ODAS Elektrik Uretim are associated (or correlated) with Aksa Enerji. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aksa Enerji Uretim has no effect on the direction of ODAS Elektrik i.e., ODAS Elektrik and Aksa Enerji go up and down completely randomly.
Pair Corralation between ODAS Elektrik and Aksa Enerji
Assuming the 90 days trading horizon ODAS Elektrik is expected to generate 2.45 times less return on investment than Aksa Enerji. In addition to that, ODAS Elektrik is 1.23 times more volatile than Aksa Enerji Uretim. It trades about 0.06 of its total potential returns per unit of risk. Aksa Enerji Uretim is currently generating about 0.19 per unit of volatility. If you would invest 3,366 in Aksa Enerji Uretim on September 22, 2024 and sell it today you would earn a total of 230.00 from holding Aksa Enerji Uretim or generate 6.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
ODAS Elektrik Uretim vs. Aksa Enerji Uretim
Performance |
Timeline |
ODAS Elektrik Uretim |
Aksa Enerji Uretim |
ODAS Elektrik and Aksa Enerji Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ODAS Elektrik and Aksa Enerji
The main advantage of trading using opposite ODAS Elektrik and Aksa Enerji positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ODAS Elektrik position performs unexpectedly, Aksa 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 Aksa Enerji will offset losses from the drop in Aksa Enerji's long position.ODAS Elektrik vs. Turkiye Petrol Rafinerileri | ODAS Elektrik vs. Aksa Akrilik Kimya | ODAS Elektrik vs. Arcelik AS | ODAS Elektrik vs. Tofas Turk Otomobil |
Aksa Enerji vs. Turkiye Petrol Rafinerileri | Aksa Enerji vs. Aksa Akrilik Kimya | Aksa Enerji vs. Arcelik AS | Aksa Enerji vs. Tofas Turk Otomobil |
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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