Correlation Between Galata Wind and Derimod Konfeksiyon
Can any of the company-specific risk be diversified away by investing in both Galata Wind 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 Galata Wind and Derimod Konfeksiyon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Galata Wind Enerji and Derimod Konfeksiyon Ayakkabi, you can compare the effects of market volatilities on Galata Wind 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 Galata Wind with a short position of Derimod Konfeksiyon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Galata Wind and Derimod Konfeksiyon.
Diversification Opportunities for Galata Wind and Derimod Konfeksiyon
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Galata and Derimod is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Galata Wind Enerji and Derimod Konfeksiyon Ayakkabi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Derimod Konfeksiyon and Galata Wind 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 Galata Wind Enerji 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 Galata Wind i.e., Galata Wind and Derimod Konfeksiyon go up and down completely randomly.
Pair Corralation between Galata Wind and Derimod Konfeksiyon
Assuming the 90 days trading horizon Galata Wind Enerji is expected to generate 0.7 times more return on investment than Derimod Konfeksiyon. However, Galata Wind Enerji is 1.43 times less risky than Derimod Konfeksiyon. It trades about 0.03 of its potential returns per unit of risk. Derimod Konfeksiyon Ayakkabi is currently generating about -0.04 per unit of risk. If you would invest 2,839 in Galata Wind Enerji on September 23, 2024 and sell it today you would earn a total of 131.00 from holding Galata Wind Enerji or generate 4.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Galata Wind Enerji vs. Derimod Konfeksiyon Ayakkabi
Performance |
Timeline |
Galata Wind Enerji |
Derimod Konfeksiyon |
Galata Wind and Derimod Konfeksiyon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Galata Wind and Derimod Konfeksiyon
The main advantage of trading using opposite Galata Wind and Derimod Konfeksiyon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Galata Wind 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.Galata Wind vs. Aksa Enerji Uretim | Galata Wind vs. Pamel Yenilenebilir Elektrik | Galata Wind vs. Metemtur Yatrm Enerji |
Derimod Konfeksiyon vs. Ford Otomotiv Sanayi | Derimod Konfeksiyon vs. Tofas Turk Otomobil | Derimod Konfeksiyon vs. Hektas Ticaret TAS | Derimod Konfeksiyon vs. Eregli Demir ve |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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