Correlation Between Koc Holding and Reysas Gayrimenkul
Can any of the company-specific risk be diversified away by investing in both Koc Holding and Reysas Gayrimenkul 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 Koc Holding and Reysas Gayrimenkul into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Koc Holding AS and Reysas Gayrimenkul Yatirim, you can compare the effects of market volatilities on Koc Holding and Reysas Gayrimenkul 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 Koc Holding with a short position of Reysas Gayrimenkul. Check out your portfolio center. Please also check ongoing floating volatility patterns of Koc Holding and Reysas Gayrimenkul.
Diversification Opportunities for Koc Holding and Reysas Gayrimenkul
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Koc and Reysas is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Koc Holding AS and Reysas Gayrimenkul Yatirim in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Reysas Gayrimenkul and Koc Holding 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 Koc Holding AS are associated (or correlated) with Reysas Gayrimenkul. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Reysas Gayrimenkul has no effect on the direction of Koc Holding i.e., Koc Holding and Reysas Gayrimenkul go up and down completely randomly.
Pair Corralation between Koc Holding and Reysas Gayrimenkul
Assuming the 90 days trading horizon Koc Holding is expected to generate 2.5 times less return on investment than Reysas Gayrimenkul. But when comparing it to its historical volatility, Koc Holding AS is 1.6 times less risky than Reysas Gayrimenkul. It trades about 0.09 of its potential returns per unit of risk. Reysas Gayrimenkul Yatirim is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 1,123 in Reysas Gayrimenkul Yatirim on September 13, 2024 and sell it today you would earn a total of 353.00 from holding Reysas Gayrimenkul Yatirim or generate 31.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Koc Holding AS vs. Reysas Gayrimenkul Yatirim
Performance |
Timeline |
Koc Holding AS |
Reysas Gayrimenkul |
Koc Holding and Reysas Gayrimenkul Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Koc Holding and Reysas Gayrimenkul
The main advantage of trading using opposite Koc Holding and Reysas Gayrimenkul positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Koc Holding position performs unexpectedly, Reysas Gayrimenkul 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 Reysas Gayrimenkul will offset losses from the drop in Reysas Gayrimenkul's long position.Koc Holding vs. Haci Omer Sabanci | Koc Holding vs. Turkiye Sise ve | Koc Holding vs. Turkiye Petrol Rafinerileri | Koc Holding vs. Turkiye Garanti Bankasi |
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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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