Correlation Between Qnb Finansbank and Mackolik Internet
Can any of the company-specific risk be diversified away by investing in both Qnb Finansbank 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 Qnb Finansbank and Mackolik Internet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Qnb Finansbank AS and Mackolik Internet Hizmetleri, you can compare the effects of market volatilities on Qnb Finansbank 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 Qnb Finansbank with a short position of Mackolik Internet. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qnb Finansbank and Mackolik Internet.
Diversification Opportunities for Qnb Finansbank and Mackolik Internet
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Qnb and Mackolik is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Qnb Finansbank 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 Qnb Finansbank 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 Qnb Finansbank 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 Qnb Finansbank i.e., Qnb Finansbank and Mackolik Internet go up and down completely randomly.
Pair Corralation between Qnb Finansbank and Mackolik Internet
Assuming the 90 days trading horizon Qnb Finansbank AS is expected to generate 1.2 times more return on investment than Mackolik Internet. However, Qnb Finansbank is 1.2 times more volatile than Mackolik Internet Hizmetleri. It trades about 0.01 of its potential returns per unit of risk. Mackolik Internet Hizmetleri is currently generating about -0.03 per unit of risk. If you would invest 27,550 in Qnb Finansbank AS on October 20, 2024 and sell it today you would earn a total of 0.00 from holding Qnb Finansbank AS or generate 0.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Qnb Finansbank AS vs. Mackolik Internet Hizmetleri
Performance |
| Timeline |
| Qnb Finansbank AS |
| Mackolik Internet |
Qnb Finansbank and Mackolik Internet Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Qnb Finansbank and Mackolik Internet
The main advantage of trading using opposite Qnb Finansbank and Mackolik Internet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qnb Finansbank 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.| Qnb Finansbank vs. SASA Polyester Sanayi | Qnb Finansbank vs. Turkish Airlines | Qnb Finansbank vs. Koc Holding AS | Qnb Finansbank vs. Ford Otomotiv Sanayi |
| Mackolik Internet vs. Turkish Airlines | Mackolik Internet vs. Creditwest Faktoring AS | Mackolik Internet vs. Sodas Sodyum Sanayi | Mackolik Internet vs. Silverline Endustri ve |
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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