Correlation Between Gentas Genel and Derimod Konfeksiyon
Can any of the company-specific risk be diversified away by investing in both Gentas Genel and Derimod Konfeksiyon 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 Derimod Konfeksiyon 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 Derimod Konfeksiyon Ayakkabi, you can compare the effects of market volatilities on Gentas Genel and Derimod Konfeksiyon 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 Derimod Konfeksiyon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gentas Genel and Derimod Konfeksiyon.
Diversification Opportunities for Gentas Genel and Derimod Konfeksiyon
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Gentas and Derimod is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Gentas Genel Metal and Derimod Konfeksiyon Ayakkabi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Derimod Konfeksiyon 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 Derimod Konfeksiyon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Derimod Konfeksiyon has no effect on the direction of Gentas Genel i.e., Gentas Genel and Derimod Konfeksiyon go up and down completely randomly.
Pair Corralation between Gentas Genel and Derimod Konfeksiyon
Assuming the 90 days trading horizon Gentas Genel Metal is expected to generate 0.45 times more return on investment than Derimod Konfeksiyon. However, Gentas Genel Metal is 2.23 times less risky than Derimod Konfeksiyon. It trades about 0.36 of its potential returns per unit of risk. Derimod Konfeksiyon Ayakkabi is currently generating about 0.09 per unit of risk. If you would invest 850.00 in Gentas Genel Metal on September 26, 2024 and sell it today you would earn a total of 115.00 from holding Gentas Genel Metal or generate 13.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gentas Genel Metal vs. Derimod Konfeksiyon Ayakkabi
Performance |
Timeline |
Gentas Genel Metal |
Derimod Konfeksiyon |
Gentas Genel and Derimod Konfeksiyon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gentas Genel and Derimod Konfeksiyon
The main advantage of trading using opposite Gentas Genel and Derimod Konfeksiyon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gentas Genel position performs unexpectedly, Derimod Konfeksiyon 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 Derimod Konfeksiyon will offset losses from the drop in Derimod Konfeksiyon's long position.Gentas Genel vs. Eregli Demir ve | Gentas Genel vs. Turkiye Petrol Rafinerileri | Gentas Genel vs. Turkish Airlines | Gentas Genel vs. Ford Otomotiv Sanayi |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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