Correlation Between Koc Holding and Papilon Savunma
Can any of the company-specific risk be diversified away by investing in both Koc Holding and Papilon Savunma 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 Papilon Savunma 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 Papilon Savunma Guvenlik, you can compare the effects of market volatilities on Koc Holding and Papilon Savunma 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 Papilon Savunma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Koc Holding and Papilon Savunma.
Diversification Opportunities for Koc Holding and Papilon Savunma
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Koc and Papilon is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Koc Holding AS and Papilon Savunma Guvenlik in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Papilon Savunma Guvenlik 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 Papilon Savunma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Papilon Savunma Guvenlik has no effect on the direction of Koc Holding i.e., Koc Holding and Papilon Savunma go up and down completely randomly.
Pair Corralation between Koc Holding and Papilon Savunma
Assuming the 90 days trading horizon Koc Holding AS is expected to under-perform the Papilon Savunma. But the stock apears to be less risky and, when comparing its historical volatility, Koc Holding AS is 3.34 times less risky than Papilon Savunma. The stock trades about -0.22 of its potential returns per unit of risk. The Papilon Savunma Guvenlik is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 1,064 in Papilon Savunma Guvenlik on September 27, 2024 and sell it today you would earn a total of 218.00 from holding Papilon Savunma Guvenlik or generate 20.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Koc Holding AS vs. Papilon Savunma Guvenlik
Performance |
Timeline |
Koc Holding AS |
Papilon Savunma Guvenlik |
Koc Holding and Papilon Savunma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Koc Holding and Papilon Savunma
The main advantage of trading using opposite Koc Holding and Papilon Savunma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Koc Holding position performs unexpectedly, Papilon Savunma 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 Papilon Savunma will offset losses from the drop in Papilon Savunma's long position.Koc Holding vs. Eregli Demir ve | Koc Holding vs. Turkiye Petrol Rafinerileri | Koc Holding vs. Turkish Airlines | Koc Holding vs. Ford Otomotiv Sanayi |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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