Correlation Between Emlak Konut and Galata Wind
Can any of the company-specific risk be diversified away by investing in both Emlak Konut and Galata Wind 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 Emlak Konut and Galata Wind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Emlak Konut Gayrimenkul and Galata Wind Enerji, you can compare the effects of market volatilities on Emlak Konut and Galata Wind 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 Emlak Konut with a short position of Galata Wind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Emlak Konut and Galata Wind.
Diversification Opportunities for Emlak Konut and Galata Wind
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Emlak and Galata is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Emlak Konut Gayrimenkul and Galata Wind Enerji in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Galata Wind Enerji and Emlak Konut 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 Emlak Konut Gayrimenkul are associated (or correlated) with Galata Wind. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Galata Wind Enerji has no effect on the direction of Emlak Konut i.e., Emlak Konut and Galata Wind go up and down completely randomly.
Pair Corralation between Emlak Konut and Galata Wind
Assuming the 90 days trading horizon Emlak Konut is expected to generate 1.14 times less return on investment than Galata Wind. In addition to that, Emlak Konut is 1.33 times more volatile than Galata Wind Enerji. It trades about 0.05 of its total potential returns per unit of risk. Galata Wind Enerji is currently generating about 0.08 per unit of volatility. If you would invest 2,694 in Galata Wind Enerji on September 23, 2024 and sell it today you would earn a total of 276.00 from holding Galata Wind Enerji or generate 10.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Emlak Konut Gayrimenkul vs. Galata Wind Enerji
Performance |
Timeline |
Emlak Konut Gayrimenkul |
Galata Wind Enerji |
Emlak Konut and Galata Wind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Emlak Konut and Galata Wind
The main advantage of trading using opposite Emlak Konut and Galata Wind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Emlak Konut position performs unexpectedly, Galata Wind 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 Galata Wind will offset losses from the drop in Galata Wind's long position.Emlak Konut vs. Senkron Guvenlik ve | Emlak Konut vs. Pamel Yenilenebilir Elektrik | Emlak Konut vs. Petrokent Turizm AS | Emlak Konut vs. Bosch Fren Sistemleri |
Galata Wind vs. Aksa Enerji Uretim | Galata Wind vs. Pamel Yenilenebilir Elektrik | Galata Wind vs. Metemtur Yatrm Enerji |
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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