Correlation Between Galata Wind and Ufuk Yatirim
Can any of the company-specific risk be diversified away by investing in both Galata Wind and Ufuk Yatirim 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 Ufuk Yatirim 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 Ufuk Yatirim Yonetim, you can compare the effects of market volatilities on Galata Wind and Ufuk Yatirim 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 Ufuk Yatirim. Check out your portfolio center. Please also check ongoing floating volatility patterns of Galata Wind and Ufuk Yatirim.
Diversification Opportunities for Galata Wind and Ufuk Yatirim
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Galata and Ufuk is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Galata Wind Enerji and Ufuk Yatirim Yonetim in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ufuk Yatirim Yonetim 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 Ufuk Yatirim. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ufuk Yatirim Yonetim has no effect on the direction of Galata Wind i.e., Galata Wind and Ufuk Yatirim go up and down completely randomly.
Pair Corralation between Galata Wind and Ufuk Yatirim
Assuming the 90 days trading horizon Galata Wind is expected to generate 1.65 times less return on investment than Ufuk Yatirim. But when comparing it to its historical volatility, Galata Wind Enerji is 1.83 times less risky than Ufuk Yatirim. It trades about 0.43 of its potential returns per unit of risk. Ufuk Yatirim Yonetim is currently generating about 0.39 of returns per unit of risk over similar time horizon. If you would invest 47,200 in Ufuk Yatirim Yonetim on September 23, 2024 and sell it today you would earn a total of 16,300 from holding Ufuk Yatirim Yonetim or generate 34.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Galata Wind Enerji vs. Ufuk Yatirim Yonetim
Performance |
Timeline |
Galata Wind Enerji |
Ufuk Yatirim Yonetim |
Galata Wind and Ufuk Yatirim Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Galata Wind and Ufuk Yatirim
The main advantage of trading using opposite Galata Wind and Ufuk Yatirim positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Galata Wind position performs unexpectedly, Ufuk Yatirim 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 Ufuk Yatirim will offset losses from the drop in Ufuk Yatirim's long position.Galata Wind vs. Aksa Enerji Uretim | Galata Wind vs. Pamel Yenilenebilir Elektrik | Galata Wind vs. Metemtur Yatrm Enerji |
Ufuk Yatirim vs. MEGA METAL | Ufuk Yatirim vs. Gentas Genel Metal | Ufuk Yatirim vs. ICBC Turkey Bank | Ufuk Yatirim vs. Qnb Finansbank AS |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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