Correlation Between Bosch Fren and Pamel Yenilenebilir
Can any of the company-specific risk be diversified away by investing in both Bosch Fren and Pamel Yenilenebilir 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 Pamel Yenilenebilir 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 Pamel Yenilenebilir Elektrik, you can compare the effects of market volatilities on Bosch Fren and Pamel Yenilenebilir 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 Pamel Yenilenebilir. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bosch Fren and Pamel Yenilenebilir.
Diversification Opportunities for Bosch Fren and Pamel Yenilenebilir
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Bosch and Pamel is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Bosch Fren Sistemleri and Pamel Yenilenebilir Elektrik in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pamel Yenilenebilir 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 Pamel Yenilenebilir. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pamel Yenilenebilir has no effect on the direction of Bosch Fren i.e., Bosch Fren and Pamel Yenilenebilir go up and down completely randomly.
Pair Corralation between Bosch Fren and Pamel Yenilenebilir
Assuming the 90 days trading horizon Bosch Fren Sistemleri is expected to generate 1.35 times more return on investment than Pamel Yenilenebilir. However, Bosch Fren is 1.35 times more volatile than Pamel Yenilenebilir Elektrik. It trades about -0.02 of its potential returns per unit of risk. Pamel Yenilenebilir Elektrik is currently generating about -0.05 per unit of risk. If you would invest 73,350 in Bosch Fren Sistemleri on September 12, 2024 and sell it today you would lose (4,200) from holding Bosch Fren Sistemleri or give up 5.73% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bosch Fren Sistemleri vs. Pamel Yenilenebilir Elektrik
Performance |
Timeline |
Bosch Fren Sistemleri |
Pamel Yenilenebilir |
Bosch Fren and Pamel Yenilenebilir Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bosch Fren and Pamel Yenilenebilir
The main advantage of trading using opposite Bosch Fren and Pamel Yenilenebilir positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bosch Fren position performs unexpectedly, Pamel Yenilenebilir 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 Pamel Yenilenebilir will offset losses from the drop in Pamel Yenilenebilir's long position.Bosch Fren vs. Koza Anadolu Metal | Bosch Fren vs. Cuhadaroglu Metal Sanayi | Bosch Fren vs. Mackolik Internet Hizmetleri | Bosch Fren vs. MEGA METAL |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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