Correlation Between Mackolik Internet and Gentas Genel
Can any of the company-specific risk be diversified away by investing in both Mackolik Internet and Gentas Genel 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 Mackolik Internet and Gentas Genel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mackolik Internet Hizmetleri and Gentas Genel Metal, you can compare the effects of market volatilities on Mackolik Internet and Gentas Genel 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 Mackolik Internet with a short position of Gentas Genel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mackolik Internet and Gentas Genel.
Diversification Opportunities for Mackolik Internet and Gentas Genel
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Mackolik and Gentas is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Mackolik Internet Hizmetleri and Gentas Genel Metal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gentas Genel Metal and Mackolik Internet 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 Mackolik Internet Hizmetleri are associated (or correlated) with Gentas Genel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gentas Genel Metal has no effect on the direction of Mackolik Internet i.e., Mackolik Internet and Gentas Genel go up and down completely randomly.
Pair Corralation between Mackolik Internet and Gentas Genel
Assuming the 90 days trading horizon Mackolik Internet Hizmetleri is expected to generate 1.13 times more return on investment than Gentas Genel. However, Mackolik Internet is 1.13 times more volatile than Gentas Genel Metal. It trades about 0.17 of its potential returns per unit of risk. Gentas Genel Metal is currently generating about 0.11 per unit of risk. If you would invest 8,046 in Mackolik Internet Hizmetleri on September 13, 2024 and sell it today you would earn a total of 2,114 from holding Mackolik Internet Hizmetleri or generate 26.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Mackolik Internet Hizmetleri vs. Gentas Genel Metal
Performance |
Timeline |
Mackolik Internet |
Gentas Genel Metal |
Mackolik Internet and Gentas Genel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mackolik Internet and Gentas Genel
The main advantage of trading using opposite Mackolik Internet and Gentas Genel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mackolik Internet position performs unexpectedly, Gentas Genel 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 Gentas Genel will offset losses from the drop in Gentas Genel's long position.Mackolik Internet vs. Koza Anadolu Metal | Mackolik Internet vs. Sekerbank TAS | Mackolik Internet vs. Politeknik Metal Sanayi | Mackolik Internet vs. MEGA METAL |
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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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