Correlation Between Iskenderun Demir and Kardemir Karabuk
Can any of the company-specific risk be diversified away by investing in both Iskenderun Demir and Kardemir Karabuk 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 Iskenderun Demir and Kardemir Karabuk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Iskenderun Demir ve and Kardemir Karabuk Demir, you can compare the effects of market volatilities on Iskenderun Demir and Kardemir Karabuk 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 Iskenderun Demir with a short position of Kardemir Karabuk. Check out your portfolio center. Please also check ongoing floating volatility patterns of Iskenderun Demir and Kardemir Karabuk.
Diversification Opportunities for Iskenderun Demir and Kardemir Karabuk
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Iskenderun and Kardemir is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Iskenderun Demir ve and Kardemir Karabuk Demir in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kardemir Karabuk Demir and Iskenderun Demir 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 Iskenderun Demir ve are associated (or correlated) with Kardemir Karabuk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kardemir Karabuk Demir has no effect on the direction of Iskenderun Demir i.e., Iskenderun Demir and Kardemir Karabuk go up and down completely randomly.
Pair Corralation between Iskenderun Demir and Kardemir Karabuk
Assuming the 90 days trading horizon Iskenderun Demir ve is expected to generate 0.86 times more return on investment than Kardemir Karabuk. However, Iskenderun Demir ve is 1.16 times less risky than Kardemir Karabuk. It trades about 0.15 of its potential returns per unit of risk. Kardemir Karabuk Demir is currently generating about 0.08 per unit of risk. If you would invest 3,466 in Iskenderun Demir ve on September 23, 2024 and sell it today you would earn a total of 692.00 from holding Iskenderun Demir ve or generate 19.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Iskenderun Demir ve vs. Kardemir Karabuk Demir
Performance |
Timeline |
Iskenderun Demir |
Kardemir Karabuk Demir |
Iskenderun Demir and Kardemir Karabuk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Iskenderun Demir and Kardemir Karabuk
The main advantage of trading using opposite Iskenderun Demir and Kardemir Karabuk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Iskenderun Demir position performs unexpectedly, Kardemir Karabuk 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 Kardemir Karabuk will offset losses from the drop in Kardemir Karabuk's long position.Iskenderun Demir vs. Sekerbank TAS | Iskenderun Demir vs. Cuhadaroglu Metal Sanayi | Iskenderun Demir vs. Sodas Sodyum Sanayi | Iskenderun Demir 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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