Correlation Between Lokman Hekim and Ozerden Plastik
Can any of the company-specific risk be diversified away by investing in both Lokman Hekim and Ozerden Plastik 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 Ozerden Plastik 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 Ozerden Plastik Sanayi, you can compare the effects of market volatilities on Lokman Hekim and Ozerden Plastik 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 Ozerden Plastik. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lokman Hekim and Ozerden Plastik.
Diversification Opportunities for Lokman Hekim and Ozerden Plastik
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Lokman and Ozerden is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Lokman Hekim Engurusag and Ozerden Plastik Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ozerden Plastik Sanayi 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 Ozerden Plastik. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ozerden Plastik Sanayi has no effect on the direction of Lokman Hekim i.e., Lokman Hekim and Ozerden Plastik go up and down completely randomly.
Pair Corralation between Lokman Hekim and Ozerden Plastik
Assuming the 90 days trading horizon Lokman Hekim Engurusag is expected to generate 0.85 times more return on investment than Ozerden Plastik. However, Lokman Hekim Engurusag is 1.18 times less risky than Ozerden Plastik. It trades about 0.15 of its potential returns per unit of risk. Ozerden Plastik Sanayi is currently generating about 0.05 per unit of risk. If you would invest 397.00 in Lokman Hekim Engurusag on October 3, 2024 and sell it today you would earn a total of 1,419 from holding Lokman Hekim Engurusag or generate 357.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.73% |
Values | Daily Returns |
Lokman Hekim Engurusag vs. Ozerden Plastik Sanayi
Performance |
Timeline |
Lokman Hekim Engurusag |
Ozerden Plastik Sanayi |
Lokman Hekim and Ozerden Plastik Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lokman Hekim and Ozerden Plastik
The main advantage of trading using opposite Lokman Hekim and Ozerden Plastik positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lokman Hekim position performs unexpectedly, Ozerden Plastik 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 Ozerden Plastik will offset losses from the drop in Ozerden Plastik's long position.Lokman Hekim vs. Bms Birlesik Metal | Lokman Hekim vs. Koza Anadolu Metal | Lokman Hekim vs. MEGA METAL | Lokman Hekim vs. Qnb Finansbank 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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