Correlation Between Gozde Girisim and Mackolik Internet
Can any of the company-specific risk be diversified away by investing in both Gozde Girisim and Mackolik Internet 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 Gozde Girisim and Mackolik Internet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gozde Girisim Sermayesi and Mackolik Internet Hizmetleri, you can compare the effects of market volatilities on Gozde Girisim and Mackolik Internet 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 Gozde Girisim with a short position of Mackolik Internet. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gozde Girisim and Mackolik Internet.
Diversification Opportunities for Gozde Girisim and Mackolik Internet
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Gozde and Mackolik is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Gozde Girisim Sermayesi and Mackolik Internet Hizmetleri in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mackolik Internet and Gozde Girisim 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 Gozde Girisim Sermayesi are associated (or correlated) with Mackolik Internet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mackolik Internet has no effect on the direction of Gozde Girisim i.e., Gozde Girisim and Mackolik Internet go up and down completely randomly.
Pair Corralation between Gozde Girisim and Mackolik Internet
Assuming the 90 days trading horizon Gozde Girisim Sermayesi is expected to under-perform the Mackolik Internet. In addition to that, Gozde Girisim is 1.11 times more volatile than Mackolik Internet Hizmetleri. It trades about -0.04 of its total potential returns per unit of risk. Mackolik Internet Hizmetleri is currently generating about 0.31 per unit of volatility. If you would invest 7,160 in Mackolik Internet Hizmetleri on October 9, 2024 and sell it today you would earn a total of 3,440 from holding Mackolik Internet Hizmetleri or generate 48.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gozde Girisim Sermayesi vs. Mackolik Internet Hizmetleri
Performance |
Timeline |
Gozde Girisim Sermayesi |
Mackolik Internet |
Gozde Girisim and Mackolik Internet Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gozde Girisim and Mackolik Internet
The main advantage of trading using opposite Gozde Girisim and Mackolik Internet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gozde Girisim position performs unexpectedly, Mackolik Internet 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 Mackolik Internet will offset losses from the drop in Mackolik Internet's long position.Gozde Girisim vs. Verusa Holding AS | Gozde Girisim vs. GSD Holding AS | Gozde Girisim vs. Guler Yatirim Holding | Gozde Girisim vs. Verusaturk Girisim Sermayesi |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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