Correlation Between Petrokent Turizm and Seyitler Kimya
Can any of the company-specific risk be diversified away by investing in both Petrokent Turizm and Seyitler Kimya 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 Petrokent Turizm and Seyitler Kimya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Petrokent Turizm AS and Seyitler Kimya Sanayi, you can compare the effects of market volatilities on Petrokent Turizm and Seyitler Kimya 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 Petrokent Turizm with a short position of Seyitler Kimya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Petrokent Turizm and Seyitler Kimya.
Diversification Opportunities for Petrokent Turizm and Seyitler Kimya
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Petrokent and Seyitler is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Petrokent Turizm AS and Seyitler Kimya Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Seyitler Kimya Sanayi and Petrokent Turizm 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 Petrokent Turizm AS are associated (or correlated) with Seyitler Kimya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Seyitler Kimya Sanayi has no effect on the direction of Petrokent Turizm i.e., Petrokent Turizm and Seyitler Kimya go up and down completely randomly.
Pair Corralation between Petrokent Turizm and Seyitler Kimya
Assuming the 90 days trading horizon Petrokent Turizm AS is expected to generate 0.95 times more return on investment than Seyitler Kimya. However, Petrokent Turizm AS is 1.05 times less risky than Seyitler Kimya. It trades about 0.05 of its potential returns per unit of risk. Seyitler Kimya Sanayi is currently generating about -0.16 per unit of risk. If you would invest 22,500 in Petrokent Turizm AS on September 21, 2024 and sell it today you would earn a total of 1,410 from holding Petrokent Turizm AS or generate 6.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Petrokent Turizm AS vs. Seyitler Kimya Sanayi
Performance |
Timeline |
Petrokent Turizm |
Seyitler Kimya Sanayi |
Petrokent Turizm and Seyitler Kimya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Petrokent Turizm and Seyitler Kimya
The main advantage of trading using opposite Petrokent Turizm and Seyitler Kimya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Petrokent Turizm position performs unexpectedly, Seyitler Kimya 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 Seyitler Kimya will offset losses from the drop in Seyitler Kimya's long position.Petrokent Turizm vs. QNB Finans Finansal | Petrokent Turizm vs. Pamel Yenilenebilir Elektrik | Petrokent Turizm vs. IZDEMIR Enerji Elektrik | Petrokent Turizm vs. Prizma Pres Matbaacilik |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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