Correlation Between BIM Birlesik and Tofas Turk
Can any of the company-specific risk be diversified away by investing in both BIM Birlesik and Tofas Turk 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 Tofas Turk 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 Tofas Turk Otomobil, you can compare the effects of market volatilities on BIM Birlesik and Tofas Turk 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 Tofas Turk. Check out your portfolio center. Please also check ongoing floating volatility patterns of BIM Birlesik and Tofas Turk.
Diversification Opportunities for BIM Birlesik and Tofas Turk
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BIM and Tofas is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding BIM Birlesik Magazalar and Tofas Turk Otomobil in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tofas Turk Otomobil 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 Tofas Turk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tofas Turk Otomobil has no effect on the direction of BIM Birlesik i.e., BIM Birlesik and Tofas Turk go up and down completely randomly.
Pair Corralation between BIM Birlesik and Tofas Turk
Assuming the 90 days trading horizon BIM Birlesik Magazalar is expected to generate 0.78 times more return on investment than Tofas Turk. However, BIM Birlesik Magazalar is 1.28 times less risky than Tofas Turk. It trades about 0.23 of its potential returns per unit of risk. Tofas Turk Otomobil is currently generating about -0.14 per unit of risk. If you would invest 45,273 in BIM Birlesik Magazalar on September 22, 2024 and sell it today you would earn a total of 4,202 from holding BIM Birlesik Magazalar or generate 9.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.65% |
Values | Daily Returns |
BIM Birlesik Magazalar vs. Tofas Turk Otomobil
Performance |
Timeline |
BIM Birlesik Magazalar |
Tofas Turk Otomobil |
BIM Birlesik and Tofas Turk Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BIM Birlesik and Tofas Turk
The main advantage of trading using opposite BIM Birlesik and Tofas Turk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BIM Birlesik position performs unexpectedly, Tofas Turk 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 Tofas Turk will offset losses from the drop in Tofas Turk'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 |
Tofas Turk vs. Ford Otomotiv Sanayi | Tofas Turk vs. Eregli Demir ve | Tofas Turk vs. Turkiye Petrol Rafinerileri | Tofas Turk vs. Turkiye Sise ve |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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