Correlation Between Koza Anadolu and Lokman Hekim
Can any of the company-specific risk be diversified away by investing in both Koza Anadolu and Lokman Hekim 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 Koza Anadolu and Lokman Hekim into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Koza Anadolu Metal and Lokman Hekim Engurusag, you can compare the effects of market volatilities on Koza Anadolu and Lokman Hekim 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 Koza Anadolu with a short position of Lokman Hekim. Check out your portfolio center. Please also check ongoing floating volatility patterns of Koza Anadolu and Lokman Hekim.
Diversification Opportunities for Koza Anadolu and Lokman Hekim
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Koza and Lokman is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Koza Anadolu Metal and Lokman Hekim Engurusag in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lokman Hekim Engurusag and Koza Anadolu 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 Koza Anadolu Metal are associated (or correlated) with Lokman Hekim. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lokman Hekim Engurusag has no effect on the direction of Koza Anadolu i.e., Koza Anadolu and Lokman Hekim go up and down completely randomly.
Pair Corralation between Koza Anadolu and Lokman Hekim
Assuming the 90 days trading horizon Koza Anadolu is expected to generate 3.46 times less return on investment than Lokman Hekim. But when comparing it to its historical volatility, Koza Anadolu Metal is 1.03 times less risky than Lokman Hekim. It trades about 0.03 of its potential returns per unit of risk. Lokman Hekim Engurusag is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 829.00 in Lokman Hekim Engurusag on September 23, 2024 and sell it today you would earn a total of 861.00 from holding Lokman Hekim Engurusag or generate 103.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Koza Anadolu Metal vs. Lokman Hekim Engurusag
Performance |
Timeline |
Koza Anadolu Metal |
Lokman Hekim Engurusag |
Koza Anadolu and Lokman Hekim Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Koza Anadolu and Lokman Hekim
The main advantage of trading using opposite Koza Anadolu and Lokman Hekim positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Koza Anadolu position performs unexpectedly, Lokman Hekim 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 Lokman Hekim will offset losses from the drop in Lokman Hekim's long position.Koza Anadolu vs. Ipek Dogal Enerji | Koza Anadolu vs. Petkim Petrokimya Holding | Koza Anadolu vs. Kardemir Karabuk Demir | Koza Anadolu vs. Tekfen Holding AS |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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