Correlation Between Akbank TAS and Galata Wind
Can any of the company-specific risk be diversified away by investing in both Akbank TAS 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 Akbank TAS and Galata Wind into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Akbank TAS and Galata Wind Enerji, you can compare the effects of market volatilities on Akbank TAS 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 Akbank TAS with a short position of Galata Wind. Check out your portfolio center. Please also check ongoing floating volatility patterns of Akbank TAS and Galata Wind.
Diversification Opportunities for Akbank TAS and Galata Wind
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Akbank and Galata is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Akbank TAS 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 Akbank TAS 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 Akbank TAS 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 Akbank TAS i.e., Akbank TAS and Galata Wind go up and down completely randomly.
Pair Corralation between Akbank TAS and Galata Wind
Assuming the 90 days trading horizon Akbank TAS is expected to generate 6.05 times less return on investment than Galata Wind. In addition to that, Akbank TAS is 1.26 times more volatile than Galata Wind Enerji. It trades about 0.01 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 | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Akbank TAS vs. Galata Wind Enerji
Performance |
Timeline |
Akbank TAS |
Galata Wind Enerji |
Akbank TAS and Galata Wind Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Akbank TAS and Galata Wind
The main advantage of trading using opposite Akbank TAS and Galata Wind positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Akbank TAS 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.Akbank TAS vs. Turkiye Garanti Bankasi | Akbank TAS vs. Yapi ve Kredi | Akbank TAS vs. Turkiye Is Bankasi | Akbank TAS vs. Koc Holding AS |
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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Other Complementary Tools
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Top Crypto Exchanges Search and analyze digital assets across top global cryptocurrency exchanges |