Correlation Between Kartonsan Karton and Bayrak EBT
Can any of the company-specific risk be diversified away by investing in both Kartonsan Karton and Bayrak EBT 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 Kartonsan Karton and Bayrak EBT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kartonsan Karton Sanayi and Bayrak EBT Taban, you can compare the effects of market volatilities on Kartonsan Karton and Bayrak EBT 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 Kartonsan Karton with a short position of Bayrak EBT. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kartonsan Karton and Bayrak EBT.
Diversification Opportunities for Kartonsan Karton and Bayrak EBT
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Kartonsan and Bayrak is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Kartonsan Karton Sanayi and Bayrak EBT Taban in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bayrak EBT Taban and Kartonsan Karton 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 Kartonsan Karton Sanayi are associated (or correlated) with Bayrak EBT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bayrak EBT Taban has no effect on the direction of Kartonsan Karton i.e., Kartonsan Karton and Bayrak EBT go up and down completely randomly.
Pair Corralation between Kartonsan Karton and Bayrak EBT
Assuming the 90 days trading horizon Kartonsan Karton is expected to generate 6.07 times less return on investment than Bayrak EBT. But when comparing it to its historical volatility, Kartonsan Karton Sanayi is 1.48 times less risky than Bayrak EBT. It trades about 0.02 of its potential returns per unit of risk. Bayrak EBT Taban is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 996.00 in Bayrak EBT Taban on September 23, 2024 and sell it today you would earn a total of 795.00 from holding Bayrak EBT Taban or generate 79.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kartonsan Karton Sanayi vs. Bayrak EBT Taban
Performance |
Timeline |
Kartonsan Karton Sanayi |
Bayrak EBT Taban |
Kartonsan Karton and Bayrak EBT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kartonsan Karton and Bayrak EBT
The main advantage of trading using opposite Kartonsan Karton and Bayrak EBT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kartonsan Karton position performs unexpectedly, Bayrak EBT 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 Bayrak EBT will offset losses from the drop in Bayrak EBT's long position.Kartonsan Karton vs. Ege Endustri ve | Kartonsan Karton vs. Bosch Fren Sistemleri | Kartonsan Karton vs. Dogus Otomotiv Servis | Kartonsan Karton vs. Nuh Cimento Sanayi |
Bayrak EBT vs. Desa Deri Sanayi | Bayrak EBT vs. Derimod Konfeksiyon Ayakkabi | Bayrak EBT vs. Mackolik Internet Hizmetleri | Bayrak EBT vs. Ford Otomotiv Sanayi |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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