Correlation Between Kordsa Global and Otokar Otomotiv
Can any of the company-specific risk be diversified away by investing in both Kordsa Global and Otokar Otomotiv 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 Kordsa Global and Otokar Otomotiv into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kordsa Global Endustriyel and Otokar Otomotiv ve, you can compare the effects of market volatilities on Kordsa Global and Otokar Otomotiv 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 Kordsa Global with a short position of Otokar Otomotiv. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kordsa Global and Otokar Otomotiv.
Diversification Opportunities for Kordsa Global and Otokar Otomotiv
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Kordsa and Otokar is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Kordsa Global Endustriyel and Otokar Otomotiv ve in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Otokar Otomotiv ve and Kordsa Global 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 Kordsa Global Endustriyel are associated (or correlated) with Otokar Otomotiv. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Otokar Otomotiv ve has no effect on the direction of Kordsa Global i.e., Kordsa Global and Otokar Otomotiv go up and down completely randomly.
Pair Corralation between Kordsa Global and Otokar Otomotiv
Assuming the 90 days trading horizon Kordsa Global Endustriyel is expected to under-perform the Otokar Otomotiv. But the stock apears to be less risky and, when comparing its historical volatility, Kordsa Global Endustriyel is 1.18 times less risky than Otokar Otomotiv. The stock trades about -0.04 of its potential returns per unit of risk. The Otokar Otomotiv ve is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 46,300 in Otokar Otomotiv ve on September 24, 2024 and sell it today you would earn a total of 875.00 from holding Otokar Otomotiv ve or generate 1.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kordsa Global Endustriyel vs. Otokar Otomotiv ve
Performance |
Timeline |
Kordsa Global Endustriyel |
Otokar Otomotiv ve |
Kordsa Global and Otokar Otomotiv Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kordsa Global and Otokar Otomotiv
The main advantage of trading using opposite Kordsa Global and Otokar Otomotiv positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kordsa Global position performs unexpectedly, Otokar Otomotiv 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 Otokar Otomotiv will offset losses from the drop in Otokar Otomotiv's long position.Kordsa Global vs. Tofas Turk Otomobil | Kordsa Global vs. Hektas Ticaret TAS | Kordsa Global vs. Eregli Demir ve |
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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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