Correlation Between Koza Anadolu and Qnb Finansbank
Can any of the company-specific risk be diversified away by investing in both Koza Anadolu and Qnb Finansbank 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 Koza Anadolu and Qnb Finansbank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Koza Anadolu Metal and Qnb Finansbank AS, you can compare the effects of market volatilities on Koza Anadolu and Qnb Finansbank 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 Koza Anadolu with a short position of Qnb Finansbank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Koza Anadolu and Qnb Finansbank.
Diversification Opportunities for Koza Anadolu and Qnb Finansbank
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Koza and Qnb is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Koza Anadolu Metal and Qnb Finansbank AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qnb Finansbank AS and Koza Anadolu 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 Koza Anadolu Metal are associated (or correlated) with Qnb Finansbank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qnb Finansbank AS has no effect on the direction of Koza Anadolu i.e., Koza Anadolu and Qnb Finansbank go up and down completely randomly.
Pair Corralation between Koza Anadolu and Qnb Finansbank
Assuming the 90 days trading horizon Koza Anadolu Metal is expected to under-perform the Qnb Finansbank. But the stock apears to be less risky and, when comparing its historical volatility, Koza Anadolu Metal is 1.02 times less risky than Qnb Finansbank. The stock trades about -0.02 of its potential returns per unit of risk. The Qnb Finansbank AS is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 26,675 in Qnb Finansbank AS on December 2, 2024 and sell it today you would earn a total of 725.00 from holding Qnb Finansbank AS or generate 2.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Koza Anadolu Metal vs. Qnb Finansbank AS
Performance |
Timeline |
Koza Anadolu Metal |
Qnb Finansbank AS |
Koza Anadolu and Qnb Finansbank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Koza Anadolu and Qnb Finansbank
The main advantage of trading using opposite Koza Anadolu and Qnb Finansbank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Koza Anadolu position performs unexpectedly, Qnb Finansbank 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 Qnb Finansbank will offset losses from the drop in Qnb Finansbank's long position.Koza Anadolu vs. Koza Altin Isletmeleri | Koza Anadolu vs. Ipek Dogal Enerji | Koza Anadolu vs. Petkim Petrokimya Holding | Koza Anadolu vs. Kardemir Karabuk Demir |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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