Correlation Between Bosch Fren and Yesil Gayrimenkul
Can any of the company-specific risk be diversified away by investing in both Bosch Fren and Yesil 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 Yesil 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 Yesil Gayrimenkul Yatirim, you can compare the effects of market volatilities on Bosch Fren and Yesil 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 Yesil Gayrimenkul. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bosch Fren and Yesil Gayrimenkul.
Diversification Opportunities for Bosch Fren and Yesil Gayrimenkul
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bosch and Yesil is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Bosch Fren Sistemleri and Yesil Gayrimenkul Yatirim in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yesil Gayrimenkul Yatirim 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 Yesil Gayrimenkul. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yesil Gayrimenkul Yatirim has no effect on the direction of Bosch Fren i.e., Bosch Fren and Yesil Gayrimenkul go up and down completely randomly.
Pair Corralation between Bosch Fren and Yesil Gayrimenkul
Assuming the 90 days trading horizon Bosch Fren Sistemleri is expected to under-perform the Yesil Gayrimenkul. But the stock apears to be less risky and, when comparing its historical volatility, Bosch Fren Sistemleri is 1.44 times less risky than Yesil Gayrimenkul. The stock trades about -0.03 of its potential returns per unit of risk. The Yesil Gayrimenkul Yatirim is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 925.00 in Yesil Gayrimenkul Yatirim on September 23, 2024 and sell it today you would earn a total of 38.00 from holding Yesil Gayrimenkul Yatirim or generate 4.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bosch Fren Sistemleri vs. Yesil Gayrimenkul Yatirim
Performance |
Timeline |
Bosch Fren Sistemleri |
Yesil Gayrimenkul Yatirim |
Bosch Fren and Yesil Gayrimenkul Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bosch Fren and Yesil Gayrimenkul
The main advantage of trading using opposite Bosch Fren and Yesil Gayrimenkul positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bosch Fren position performs unexpectedly, Yesil 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 Yesil Gayrimenkul will offset losses from the drop in Yesil 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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