Correlation Between Galata Wind and Mercan Kimya
Can any of the company-specific risk be diversified away by investing in both Galata Wind and Mercan Kimya 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 Mercan Kimya 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 Mercan Kimya Sanayi, you can compare the effects of market volatilities on Galata Wind and Mercan Kimya 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 Mercan Kimya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Galata Wind and Mercan Kimya.
Diversification Opportunities for Galata Wind and Mercan Kimya
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Galata and Mercan is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Galata Wind Enerji and Mercan Kimya Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mercan Kimya Sanayi 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 Mercan Kimya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mercan Kimya Sanayi has no effect on the direction of Galata Wind i.e., Galata Wind and Mercan Kimya go up and down completely randomly.
Pair Corralation between Galata Wind and Mercan Kimya
Assuming the 90 days trading horizon Galata Wind Enerji is expected to generate 1.22 times more return on investment than Mercan Kimya. However, Galata Wind is 1.22 times more volatile than Mercan Kimya Sanayi. It trades about 0.43 of its potential returns per unit of risk. Mercan Kimya Sanayi is currently generating about -0.28 per unit of risk. If you would invest 2,470 in Galata Wind Enerji on September 23, 2024 and sell it today you would earn a total of 500.00 from holding Galata Wind Enerji or generate 20.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Galata Wind Enerji vs. Mercan Kimya Sanayi
Performance |
Timeline |
Galata Wind Enerji |
Mercan Kimya Sanayi |
Galata Wind and Mercan Kimya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Galata Wind and Mercan Kimya
The main advantage of trading using opposite Galata Wind and Mercan Kimya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Galata Wind position performs unexpectedly, Mercan Kimya 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 Mercan Kimya will offset losses from the drop in Mercan Kimya's long position.Galata Wind vs. Aksa Enerji Uretim | Galata Wind vs. Pamel Yenilenebilir Elektrik | Galata Wind vs. Metemtur Yatrm Enerji |
Mercan Kimya vs. SASA Polyester Sanayi | Mercan Kimya vs. Turkish Airlines | Mercan Kimya vs. Koc Holding AS | Mercan Kimya 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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