Correlation Between QNB Finans and Tofas Turk
Can any of the company-specific risk be diversified away by investing in both QNB Finans and Tofas Turk 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 Finans and Tofas Turk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between QNB Finans Finansal and Tofas Turk Otomobil, you can compare the effects of market volatilities on QNB Finans and Tofas Turk 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 Finans with a short position of Tofas Turk. Check out your portfolio center. Please also check ongoing floating volatility patterns of QNB Finans and Tofas Turk.
Diversification Opportunities for QNB Finans and Tofas Turk
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between QNB and Tofas is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding QNB Finans Finansal and Tofas Turk Otomobil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tofas Turk Otomobil and QNB Finans 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 Finans Finansal are associated (or correlated) with Tofas Turk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tofas Turk Otomobil has no effect on the direction of QNB Finans i.e., QNB Finans and Tofas Turk go up and down completely randomly.
Pair Corralation between QNB Finans and Tofas Turk
Assuming the 90 days trading horizon QNB Finans Finansal is expected to under-perform the Tofas Turk. In addition to that, QNB Finans is 2.97 times more volatile than Tofas Turk Otomobil. It trades about -0.12 of its total potential returns per unit of risk. Tofas Turk Otomobil is currently generating about -0.03 per unit of volatility. If you would invest 21,700 in Tofas Turk Otomobil on September 15, 2024 and sell it today you would lose (1,290) from holding Tofas Turk Otomobil or give up 5.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
QNB Finans Finansal vs. Tofas Turk Otomobil
Performance |
Timeline |
QNB Finans Finansal |
Tofas Turk Otomobil |
QNB Finans and Tofas Turk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with QNB Finans and Tofas Turk
The main advantage of trading using opposite QNB Finans and Tofas Turk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QNB Finans position performs unexpectedly, Tofas Turk 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 Tofas Turk will offset losses from the drop in Tofas Turk's long position.QNB Finans vs. Sodas Sodyum Sanayi | QNB Finans vs. Gentas Genel Metal | QNB Finans vs. Akcansa Cimento Sanayi | QNB Finans vs. MEGA METAL |
Tofas Turk vs. QNB Finans Finansal | Tofas Turk vs. Pamel Yenilenebilir Elektrik | Tofas Turk vs. IZDEMIR Enerji Elektrik | Tofas Turk vs. Logo Yazilim Sanayi |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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