Correlation Between Tofas Turk and Bosch Fren
Can any of the company-specific risk be diversified away by investing in both Tofas Turk and Bosch Fren 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 Tofas Turk and Bosch Fren into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tofas Turk Otomobil and Bosch Fren Sistemleri, you can compare the effects of market volatilities on Tofas Turk and Bosch Fren 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 Tofas Turk with a short position of Bosch Fren. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tofas Turk and Bosch Fren.
Diversification Opportunities for Tofas Turk and Bosch Fren
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Tofas and Bosch is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Tofas Turk Otomobil and Bosch Fren Sistemleri in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bosch Fren Sistemleri and Tofas Turk 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 Tofas Turk Otomobil are associated (or correlated) with Bosch Fren. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bosch Fren Sistemleri has no effect on the direction of Tofas Turk i.e., Tofas Turk and Bosch Fren go up and down completely randomly.
Pair Corralation between Tofas Turk and Bosch Fren
Assuming the 90 days trading horizon Tofas Turk Otomobil is expected to under-perform the Bosch Fren. But the stock apears to be less risky and, when comparing its historical volatility, Tofas Turk Otomobil is 1.06 times less risky than Bosch Fren. The stock trades about -0.09 of its potential returns per unit of risk. The Bosch Fren Sistemleri is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 73,500 in Bosch Fren Sistemleri on September 22, 2024 and sell it today you would lose (5,450) from holding Bosch Fren Sistemleri or give up 7.41% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Tofas Turk Otomobil vs. Bosch Fren Sistemleri
Performance |
Timeline |
Tofas Turk Otomobil |
Bosch Fren Sistemleri |
Tofas Turk and Bosch Fren Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tofas Turk and Bosch Fren
The main advantage of trading using opposite Tofas Turk and Bosch Fren positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tofas Turk position performs unexpectedly, Bosch Fren 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 Bosch Fren will offset losses from the drop in Bosch Fren's long position.Tofas Turk vs. Ford Otomotiv Sanayi | Tofas Turk vs. Eregli Demir ve | Tofas Turk vs. Turkiye Petrol Rafinerileri | Tofas Turk vs. Turkiye Sise ve |
Bosch Fren vs. Ford Otomotiv Sanayi | Bosch Fren vs. Tofas Turk Otomobil | Bosch Fren vs. Hektas Ticaret TAS | Bosch Fren vs. Eregli Demir 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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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