Correlation Between Turk Tuborg and Bms Birlesik
Can any of the company-specific risk be diversified away by investing in both Turk Tuborg and Bms Birlesik 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 Turk Tuborg and Bms Birlesik into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Turk Tuborg Bira and Bms Birlesik Metal, you can compare the effects of market volatilities on Turk Tuborg and Bms Birlesik 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 Turk Tuborg with a short position of Bms Birlesik. Check out your portfolio center. Please also check ongoing floating volatility patterns of Turk Tuborg and Bms Birlesik.
Diversification Opportunities for Turk Tuborg and Bms Birlesik
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Turk and Bms is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Turk Tuborg Bira and Bms Birlesik Metal in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bms Birlesik Metal and Turk Tuborg 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 Turk Tuborg Bira are associated (or correlated) with Bms Birlesik. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bms Birlesik Metal has no effect on the direction of Turk Tuborg i.e., Turk Tuborg and Bms Birlesik go up and down completely randomly.
Pair Corralation between Turk Tuborg and Bms Birlesik
Assuming the 90 days trading horizon Turk Tuborg is expected to generate 2.1 times less return on investment than Bms Birlesik. But when comparing it to its historical volatility, Turk Tuborg Bira is 4.65 times less risky than Bms Birlesik. It trades about 0.11 of its potential returns per unit of risk. Bms Birlesik Metal is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,055 in Bms Birlesik Metal on October 22, 2024 and sell it today you would earn a total of 1,835 from holding Bms Birlesik Metal or generate 173.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.19% |
Values | Daily Returns |
Turk Tuborg Bira vs. Bms Birlesik Metal
Performance |
Timeline |
Turk Tuborg Bira |
Bms Birlesik Metal |
Turk Tuborg and Bms Birlesik Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Turk Tuborg and Bms Birlesik
The main advantage of trading using opposite Turk Tuborg and Bms Birlesik positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Turk Tuborg position performs unexpectedly, Bms Birlesik 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 Bms Birlesik will offset losses from the drop in Bms Birlesik's long position.Turk Tuborg vs. Turkiye Kalkinma Bankasi | Turk Tuborg vs. Qnb Finansbank AS | Turk Tuborg vs. ICBC Turkey Bank | Turk Tuborg vs. KOC METALURJI |
Bms Birlesik vs. Creditwest Faktoring AS | Bms Birlesik vs. CEO Event Medya | Bms Birlesik vs. Datagate Bilgisayar Malzemeleri | Bms Birlesik vs. MEGA METAL |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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