Correlation Between Gentas Genel and Koza Polyester
Can any of the company-specific risk be diversified away by investing in both Gentas Genel and Koza Polyester 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 Gentas Genel and Koza Polyester into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gentas Genel Metal and Koza Polyester Sanayi, you can compare the effects of market volatilities on Gentas Genel and Koza Polyester 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 Gentas Genel with a short position of Koza Polyester. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gentas Genel and Koza Polyester.
Diversification Opportunities for Gentas Genel and Koza Polyester
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Gentas and Koza is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Gentas Genel Metal and Koza Polyester Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Koza Polyester Sanayi and Gentas Genel 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 Gentas Genel Metal are associated (or correlated) with Koza Polyester. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Koza Polyester Sanayi has no effect on the direction of Gentas Genel i.e., Gentas Genel and Koza Polyester go up and down completely randomly.
Pair Corralation between Gentas Genel and Koza Polyester
Assuming the 90 days trading horizon Gentas Genel Metal is expected to generate 0.67 times more return on investment than Koza Polyester. However, Gentas Genel Metal is 1.49 times less risky than Koza Polyester. It trades about 0.12 of its potential returns per unit of risk. Koza Polyester Sanayi is currently generating about 0.02 per unit of risk. If you would invest 811.00 in Gentas Genel Metal on September 22, 2024 and sell it today you would earn a total of 132.00 from holding Gentas Genel Metal or generate 16.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Gentas Genel Metal vs. Koza Polyester Sanayi
Performance |
Timeline |
Gentas Genel Metal |
Koza Polyester Sanayi |
Gentas Genel and Koza Polyester Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gentas Genel and Koza Polyester
The main advantage of trading using opposite Gentas Genel and Koza Polyester positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gentas Genel position performs unexpectedly, Koza Polyester 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 Koza Polyester will offset losses from the drop in Koza Polyester's long position.Gentas Genel vs. Ege Endustri ve | Gentas Genel vs. Turkiye Petrol Rafinerileri | Gentas Genel vs. Turkiye Garanti Bankasi | Gentas Genel vs. Ford Otomotiv Sanayi |
Koza Polyester vs. Politeknik Metal Sanayi | Koza Polyester vs. Bms Birlesik Metal | Koza Polyester vs. Gentas Genel Metal | Koza Polyester vs. Turkish Airlines |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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