Correlation Between Bosch Fren and Sinpas Gayrimenkul
Can any of the company-specific risk be diversified away by investing in both Bosch Fren and Sinpas Gayrimenkul 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 Bosch Fren and Sinpas Gayrimenkul into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bosch Fren Sistemleri and Sinpas Gayrimenkul Yatirim, you can compare the effects of market volatilities on Bosch Fren and Sinpas Gayrimenkul 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 Bosch Fren with a short position of Sinpas Gayrimenkul. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bosch Fren and Sinpas Gayrimenkul.
Diversification Opportunities for Bosch Fren and Sinpas Gayrimenkul
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bosch and Sinpas is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Bosch Fren Sistemleri and Sinpas Gayrimenkul Yatirim in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sinpas Gayrimenkul and Bosch Fren 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 Bosch Fren Sistemleri are associated (or correlated) with Sinpas Gayrimenkul. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sinpas Gayrimenkul has no effect on the direction of Bosch Fren i.e., Bosch Fren and Sinpas Gayrimenkul go up and down completely randomly.
Pair Corralation between Bosch Fren and Sinpas Gayrimenkul
Assuming the 90 days trading horizon Bosch Fren Sistemleri is expected to under-perform the Sinpas Gayrimenkul. In addition to that, Bosch Fren is 1.07 times more volatile than Sinpas Gayrimenkul Yatirim. It trades about -0.03 of its total potential returns per unit of risk. Sinpas Gayrimenkul Yatirim is currently generating about 0.04 per unit of volatility. If you would invest 278.00 in Sinpas Gayrimenkul Yatirim on September 23, 2024 and sell it today you would earn a total of 12.00 from holding Sinpas Gayrimenkul Yatirim or generate 4.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bosch Fren Sistemleri vs. Sinpas Gayrimenkul Yatirim
Performance |
Timeline |
Bosch Fren Sistemleri |
Sinpas Gayrimenkul |
Bosch Fren and Sinpas Gayrimenkul Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bosch Fren and Sinpas Gayrimenkul
The main advantage of trading using opposite Bosch Fren and Sinpas Gayrimenkul positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bosch Fren position performs unexpectedly, Sinpas Gayrimenkul 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 Sinpas Gayrimenkul will offset losses from the drop in Sinpas Gayrimenkul's long position.Bosch Fren vs. Ford Otomotiv Sanayi | Bosch Fren vs. Tofas Turk Otomobil | Bosch Fren vs. Hektas Ticaret TAS | Bosch Fren vs. Eregli Demir ve |
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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 Valuation module to check real value of public entities based on technical and fundamental data.
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