Correlation Between SASA Polyester and Pegasus Hava
Can any of the company-specific risk be diversified away by investing in both SASA Polyester and Pegasus 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 SASA Polyester and Pegasus Hava into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SASA Polyester Sanayi and Pegasus Hava Tasimaciligi, you can compare the effects of market volatilities on SASA Polyester and Pegasus 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 SASA Polyester with a short position of Pegasus Hava. Check out your portfolio center. Please also check ongoing floating volatility patterns of SASA Polyester and Pegasus Hava.
Diversification Opportunities for SASA Polyester and Pegasus Hava
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between SASA and Pegasus is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding SASA Polyester Sanayi and Pegasus Hava Tasimaciligi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pegasus Hava Tasimaciligi and SASA Polyester 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 SASA Polyester Sanayi are associated (or correlated) with Pegasus Hava. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pegasus Hava Tasimaciligi has no effect on the direction of SASA Polyester i.e., SASA Polyester and Pegasus Hava go up and down completely randomly.
Pair Corralation between SASA Polyester and Pegasus Hava
Assuming the 90 days trading horizon SASA Polyester Sanayi is expected to generate 2.8 times more return on investment than Pegasus Hava. However, SASA Polyester is 2.8 times more volatile than Pegasus Hava Tasimaciligi. It trades about 0.04 of its potential returns per unit of risk. Pegasus Hava Tasimaciligi is currently generating about 0.04 per unit of risk. If you would invest 586.00 in SASA Polyester Sanayi on September 23, 2024 and sell it today you would lose (182.00) from holding SASA Polyester Sanayi or give up 31.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SASA Polyester Sanayi vs. Pegasus Hava Tasimaciligi
Performance |
Timeline |
SASA Polyester Sanayi |
Pegasus Hava Tasimaciligi |
SASA Polyester and Pegasus Hava Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SASA Polyester and Pegasus Hava
The main advantage of trading using opposite SASA Polyester and Pegasus Hava positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SASA Polyester position performs unexpectedly, Pegasus 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 Pegasus Hava will offset losses from the drop in Pegasus Hava's long position.SASA Polyester vs. Ege Endustri ve | SASA Polyester vs. Bosch Fren Sistemleri | SASA Polyester vs. Dogus Otomotiv Servis | SASA Polyester vs. Nuh Cimento Sanayi |
Pegasus Hava vs. Eregli Demir ve | Pegasus Hava vs. Turkiye Petrol Rafinerileri | Pegasus Hava vs. Turkish Airlines | Pegasus 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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