Correlation Between BIM Birlesik and Turkiye Sise
Can any of the company-specific risk be diversified away by investing in both BIM Birlesik and Turkiye Sise 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 BIM Birlesik and Turkiye Sise into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BIM Birlesik Magazalar and Turkiye Sise ve, you can compare the effects of market volatilities on BIM Birlesik and Turkiye Sise 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 BIM Birlesik with a short position of Turkiye Sise. Check out your portfolio center. Please also check ongoing floating volatility patterns of BIM Birlesik and Turkiye Sise.
Diversification Opportunities for BIM Birlesik and Turkiye Sise
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BIM and Turkiye is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding BIM Birlesik Magazalar and Turkiye Sise ve in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Turkiye Sise ve and BIM Birlesik 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 BIM Birlesik Magazalar are associated (or correlated) with Turkiye Sise. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Turkiye Sise ve has no effect on the direction of BIM Birlesik i.e., BIM Birlesik and Turkiye Sise go up and down completely randomly.
Pair Corralation between BIM Birlesik and Turkiye Sise
Assuming the 90 days trading horizon BIM Birlesik is expected to generate 1.42 times less return on investment than Turkiye Sise. In addition to that, BIM Birlesik is 1.07 times more volatile than Turkiye Sise ve. It trades about 0.13 of its total potential returns per unit of risk. Turkiye Sise ve is currently generating about 0.19 per unit of volatility. If you would invest 4,104 in Turkiye Sise ve on September 24, 2024 and sell it today you would earn a total of 256.00 from holding Turkiye Sise ve or generate 6.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
BIM Birlesik Magazalar vs. Turkiye Sise ve
Performance |
Timeline |
BIM Birlesik Magazalar |
Turkiye Sise ve |
BIM Birlesik and Turkiye Sise Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BIM Birlesik and Turkiye Sise
The main advantage of trading using opposite BIM Birlesik and Turkiye Sise positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BIM Birlesik position performs unexpectedly, Turkiye Sise 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 Turkiye Sise will offset losses from the drop in Turkiye Sise's long position.BIM Birlesik vs. Trabzon Liman Isletmeciligi | BIM Birlesik vs. Bayrak EBT Taban | BIM Birlesik vs. Alkim Kagit Sanayi | BIM Birlesik vs. Federal Mogul Izmit |
Turkiye Sise vs. Eregli Demir ve | Turkiye Sise vs. Turkiye Petrol Rafinerileri | Turkiye Sise vs. Turkish Airlines | Turkiye Sise 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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