Correlation Between Qnb Finansbank and Nurol Gayrimenkul
Can any of the company-specific risk be diversified away by investing in both Qnb Finansbank and Nurol Gayrimenkul 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 Nurol Gayrimenkul 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 Nurol Gayrimenkul Yatirim, you can compare the effects of market volatilities on Qnb Finansbank and Nurol Gayrimenkul 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 Nurol Gayrimenkul. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qnb Finansbank and Nurol Gayrimenkul.
Diversification Opportunities for Qnb Finansbank and Nurol Gayrimenkul
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Qnb and Nurol is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Qnb Finansbank AS and Nurol Gayrimenkul Yatirim in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nurol Gayrimenkul Yatirim 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 Nurol Gayrimenkul. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nurol Gayrimenkul Yatirim has no effect on the direction of Qnb Finansbank i.e., Qnb Finansbank and Nurol Gayrimenkul go up and down completely randomly.
Pair Corralation between Qnb Finansbank and Nurol Gayrimenkul
Assuming the 90 days trading horizon Qnb Finansbank AS is expected to under-perform the Nurol Gayrimenkul. In addition to that, Qnb Finansbank is 1.16 times more volatile than Nurol Gayrimenkul Yatirim. It trades about -0.02 of its total potential returns per unit of risk. Nurol Gayrimenkul Yatirim is currently generating about -0.03 per unit of volatility. If you would invest 759.00 in Nurol Gayrimenkul Yatirim on September 21, 2024 and sell it today you would lose (10.00) from holding Nurol Gayrimenkul Yatirim or give up 1.32% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Qnb Finansbank AS vs. Nurol Gayrimenkul Yatirim
Performance |
| Timeline |
| Qnb Finansbank AS |
| Nurol Gayrimenkul Yatirim |
Qnb Finansbank and Nurol Gayrimenkul Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Qnb Finansbank and Nurol Gayrimenkul
The main advantage of trading using opposite Qnb Finansbank and Nurol Gayrimenkul positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qnb Finansbank position performs unexpectedly, Nurol Gayrimenkul 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 Nurol Gayrimenkul will offset losses from the drop in Nurol Gayrimenkul'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 |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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