Correlation Between Hedef Holdings and Mackolik Internet
Can any of the company-specific risk be diversified away by investing in both Hedef Holdings 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 Hedef Holdings and Mackolik Internet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hedef Holdings AS and Mackolik Internet Hizmetleri, you can compare the effects of market volatilities on Hedef Holdings 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 Hedef Holdings with a short position of Mackolik Internet. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hedef Holdings and Mackolik Internet.
Diversification Opportunities for Hedef Holdings and Mackolik Internet
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Hedef and Mackolik is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Hedef Holdings AS and Mackolik Internet Hizmetleri in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mackolik Internet and Hedef Holdings 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 Hedef Holdings AS 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 Hedef Holdings i.e., Hedef Holdings and Mackolik Internet go up and down completely randomly.
Pair Corralation between Hedef Holdings and Mackolik Internet
Assuming the 90 days trading horizon Hedef Holdings AS is expected to generate 1.77 times more return on investment than Mackolik Internet. However, Hedef Holdings is 1.77 times more volatile than Mackolik Internet Hizmetleri. It trades about 0.31 of its potential returns per unit of risk. Mackolik Internet Hizmetleri is currently generating about 0.15 per unit of risk. If you would invest 320.00 in Hedef Holdings AS on October 11, 2024 and sell it today you would earn a total of 90.00 from holding Hedef Holdings AS or generate 28.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hedef Holdings AS vs. Mackolik Internet Hizmetleri
Performance |
Timeline |
Hedef Holdings AS |
Mackolik Internet |
Hedef Holdings and Mackolik Internet Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hedef Holdings and Mackolik Internet
The main advantage of trading using opposite Hedef Holdings and Mackolik Internet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hedef Holdings 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.Hedef Holdings vs. Mackolik Internet Hizmetleri | Hedef Holdings vs. Cuhadaroglu Metal Sanayi | Hedef Holdings vs. Politeknik Metal Sanayi | Hedef Holdings vs. Galatasaray Sportif Sinai |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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