Correlation Between Lokman Hekim and Galatasaray Sportif
Can any of the company-specific risk be diversified away by investing in both Lokman Hekim and Galatasaray Sportif 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 Galatasaray Sportif 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 Galatasaray Sportif Sinai, you can compare the effects of market volatilities on Lokman Hekim and Galatasaray Sportif 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 Galatasaray Sportif. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lokman Hekim and Galatasaray Sportif.
Diversification Opportunities for Lokman Hekim and Galatasaray Sportif
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Lokman and Galatasaray is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Lokman Hekim Engurusag and Galatasaray Sportif Sinai in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Galatasaray Sportif Sinai 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 Galatasaray Sportif. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Galatasaray Sportif Sinai has no effect on the direction of Lokman Hekim i.e., Lokman Hekim and Galatasaray Sportif go up and down completely randomly.
Pair Corralation between Lokman Hekim and Galatasaray Sportif
Assuming the 90 days trading horizon Lokman Hekim Engurusag is expected to generate 1.13 times more return on investment than Galatasaray Sportif. However, Lokman Hekim is 1.13 times more volatile than Galatasaray Sportif Sinai. It trades about 0.01 of its potential returns per unit of risk. Galatasaray Sportif Sinai is currently generating about -0.17 per unit of risk. If you would invest 1,699 in Lokman Hekim Engurusag on September 23, 2024 and sell it today you would lose (9.00) from holding Lokman Hekim Engurusag or give up 0.53% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lokman Hekim Engurusag vs. Galatasaray Sportif Sinai
Performance |
Timeline |
Lokman Hekim Engurusag |
Galatasaray Sportif Sinai |
Lokman Hekim and Galatasaray Sportif Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lokman Hekim and Galatasaray Sportif
The main advantage of trading using opposite Lokman Hekim and Galatasaray Sportif positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lokman Hekim position performs unexpectedly, Galatasaray Sportif 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 Galatasaray Sportif will offset losses from the drop in Galatasaray Sportif's long position.Lokman Hekim vs. Galatasaray Sportif Sinai | Lokman Hekim vs. Koza Anadolu Metal | Lokman Hekim vs. Turkish Airlines | Lokman Hekim vs. Bms Birlesik 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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