Correlation Between Mercan Kimya and Turkish Airlines
Can any of the company-specific risk be diversified away by investing in both Mercan Kimya and Turkish Airlines 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 Mercan Kimya and Turkish Airlines into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mercan Kimya Sanayi and Turkish Airlines, you can compare the effects of market volatilities on Mercan Kimya and Turkish Airlines 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 Mercan Kimya with a short position of Turkish Airlines. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mercan Kimya and Turkish Airlines.
Diversification Opportunities for Mercan Kimya and Turkish Airlines
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Mercan and Turkish is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Mercan Kimya Sanayi and Turkish Airlines in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Turkish Airlines and Mercan Kimya 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 Mercan Kimya Sanayi are associated (or correlated) with Turkish Airlines. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Turkish Airlines has no effect on the direction of Mercan Kimya i.e., Mercan Kimya and Turkish Airlines go up and down completely randomly.
Pair Corralation between Mercan Kimya and Turkish Airlines
Assuming the 90 days trading horizon Mercan Kimya Sanayi is expected to under-perform the Turkish Airlines. But the stock apears to be less risky and, when comparing its historical volatility, Mercan Kimya Sanayi is 1.03 times less risky than Turkish Airlines. The stock trades about -0.28 of its potential returns per unit of risk. The Turkish Airlines is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 27,950 in Turkish Airlines on September 23, 2024 and sell it today you would earn a total of 1,025 from holding Turkish Airlines or generate 3.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mercan Kimya Sanayi vs. Turkish Airlines
Performance |
Timeline |
Mercan Kimya Sanayi |
Turkish Airlines |
Mercan Kimya and Turkish Airlines Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mercan Kimya and Turkish Airlines
The main advantage of trading using opposite Mercan Kimya and Turkish Airlines positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mercan Kimya position performs unexpectedly, Turkish Airlines 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 Turkish Airlines will offset losses from the drop in Turkish Airlines' long position.Mercan Kimya vs. Akcansa Cimento Sanayi | Mercan Kimya vs. Trabzonspor Sportif Yatirim | Mercan Kimya vs. Bms Birlesik Metal | Mercan Kimya vs. E Data Teknoloji Pazarlama |
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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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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