Correlation Between SASA Polyester and Borlease Otomotiv
Can any of the company-specific risk be diversified away by investing in both SASA Polyester and Borlease Otomotiv 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 Borlease Otomotiv 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 Borlease Otomotiv AS, you can compare the effects of market volatilities on SASA Polyester and Borlease Otomotiv 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 Borlease Otomotiv. Check out your portfolio center. Please also check ongoing floating volatility patterns of SASA Polyester and Borlease Otomotiv.
Diversification Opportunities for SASA Polyester and Borlease Otomotiv
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between SASA and Borlease is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding SASA Polyester Sanayi and Borlease Otomotiv AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Borlease Otomotiv 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 Borlease Otomotiv. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Borlease Otomotiv has no effect on the direction of SASA Polyester i.e., SASA Polyester and Borlease Otomotiv go up and down completely randomly.
Pair Corralation between SASA Polyester and Borlease Otomotiv
Assuming the 90 days trading horizon SASA Polyester Sanayi is expected to under-perform the Borlease Otomotiv. But the stock apears to be less risky and, when comparing its historical volatility, SASA Polyester Sanayi is 1.08 times less risky than Borlease Otomotiv. The stock trades about -0.04 of its potential returns per unit of risk. The Borlease Otomotiv AS is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 6,945 in Borlease Otomotiv AS on December 30, 2024 and sell it today you would earn a total of 2,695 from holding Borlease Otomotiv AS or generate 38.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SASA Polyester Sanayi vs. Borlease Otomotiv AS
Performance |
Timeline |
SASA Polyester Sanayi |
Borlease Otomotiv |
SASA Polyester and Borlease Otomotiv Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SASA Polyester and Borlease Otomotiv
The main advantage of trading using opposite SASA Polyester and Borlease Otomotiv positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SASA Polyester position performs unexpectedly, Borlease Otomotiv 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 Borlease Otomotiv will offset losses from the drop in Borlease Otomotiv's long position.SASA Polyester vs. Hektas Ticaret TAS | SASA Polyester vs. Eregli Demir ve | SASA Polyester vs. Turkiye Sise ve | SASA Polyester vs. Turkiye Petrol Rafinerileri |
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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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