Correlation Between SASA Polyester and Pasifik Eurasia
Can any of the company-specific risk be diversified away by investing in both SASA Polyester and Pasifik Eurasia 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 Pasifik Eurasia 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 Pasifik Eurasia Lojistik, you can compare the effects of market volatilities on SASA Polyester and Pasifik Eurasia 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 Pasifik Eurasia. Check out your portfolio center. Please also check ongoing floating volatility patterns of SASA Polyester and Pasifik Eurasia.
Diversification Opportunities for SASA Polyester and Pasifik Eurasia
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SASA and Pasifik is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding SASA Polyester Sanayi and Pasifik Eurasia Lojistik in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pasifik Eurasia Lojistik 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 Pasifik Eurasia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pasifik Eurasia Lojistik has no effect on the direction of SASA Polyester i.e., SASA Polyester and Pasifik Eurasia go up and down completely randomly.
Pair Corralation between SASA Polyester and Pasifik Eurasia
Assuming the 90 days trading horizon SASA Polyester is expected to generate 3.21 times less return on investment than Pasifik Eurasia. But when comparing it to its historical volatility, SASA Polyester Sanayi is 1.14 times less risky than Pasifik Eurasia. It trades about 0.07 of its potential returns per unit of risk. Pasifik Eurasia Lojistik is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 2,366 in Pasifik Eurasia Lojistik on September 26, 2024 and sell it today you would earn a total of 512.00 from holding Pasifik Eurasia Lojistik or generate 21.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SASA Polyester Sanayi vs. Pasifik Eurasia Lojistik
Performance |
Timeline |
SASA Polyester Sanayi |
Pasifik Eurasia Lojistik |
SASA Polyester and Pasifik Eurasia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SASA Polyester and Pasifik Eurasia
The main advantage of trading using opposite SASA Polyester and Pasifik Eurasia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SASA Polyester position performs unexpectedly, Pasifik Eurasia 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 Pasifik Eurasia will offset losses from the drop in Pasifik Eurasia'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 |
Pasifik Eurasia vs. SASA Polyester Sanayi | Pasifik Eurasia vs. Turkish Airlines | Pasifik Eurasia vs. Koc Holding AS | Pasifik Eurasia 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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