Correlation Between Lokman Hekim and Turkiye Kalkinma
Can any of the company-specific risk be diversified away by investing in both Lokman Hekim and Turkiye Kalkinma 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 Lokman Hekim and Turkiye Kalkinma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lokman Hekim Engurusag and Turkiye Kalkinma Bankasi, you can compare the effects of market volatilities on Lokman Hekim and Turkiye Kalkinma 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 Lokman Hekim with a short position of Turkiye Kalkinma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lokman Hekim and Turkiye Kalkinma.
Diversification Opportunities for Lokman Hekim and Turkiye Kalkinma
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Lokman and Turkiye is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Lokman Hekim Engurusag and Turkiye Kalkinma Bankasi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Turkiye Kalkinma Bankasi and Lokman Hekim 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 Lokman Hekim Engurusag are associated (or correlated) with Turkiye Kalkinma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Turkiye Kalkinma Bankasi has no effect on the direction of Lokman Hekim i.e., Lokman Hekim and Turkiye Kalkinma go up and down completely randomly.
Pair Corralation between Lokman Hekim and Turkiye Kalkinma
Assuming the 90 days trading horizon Lokman Hekim Engurusag is expected to generate 1.02 times more return on investment than Turkiye Kalkinma. However, Lokman Hekim is 1.02 times more volatile than Turkiye Kalkinma Bankasi. It trades about 0.12 of its potential returns per unit of risk. Turkiye Kalkinma Bankasi is currently generating about -0.02 per unit of risk. If you would invest 1,583 in Lokman Hekim Engurusag on October 22, 2024 and sell it today you would earn a total of 563.00 from holding Lokman Hekim Engurusag or generate 35.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Lokman Hekim Engurusag vs. Turkiye Kalkinma Bankasi
Performance |
Timeline |
Lokman Hekim Engurusag |
Turkiye Kalkinma Bankasi |
Lokman Hekim and Turkiye Kalkinma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lokman Hekim and Turkiye Kalkinma
The main advantage of trading using opposite Lokman Hekim and Turkiye Kalkinma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lokman Hekim position performs unexpectedly, Turkiye Kalkinma 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 Turkiye Kalkinma will offset losses from the drop in Turkiye Kalkinma's long position.Lokman Hekim vs. Bms Birlesik Metal | Lokman Hekim vs. Cuhadaroglu Metal Sanayi | Lokman Hekim vs. Datagate Bilgisayar Malzemeleri | Lokman Hekim vs. Gentas Genel Metal |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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