Correlation Between Bosch Fren and Politeknik Metal
Can any of the company-specific risk be diversified away by investing in both Bosch Fren and Politeknik Metal 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 Politeknik Metal 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 Politeknik Metal Sanayi, you can compare the effects of market volatilities on Bosch Fren and Politeknik Metal 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 Politeknik Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bosch Fren and Politeknik Metal.
Diversification Opportunities for Bosch Fren and Politeknik Metal
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bosch and Politeknik is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding Bosch Fren Sistemleri and Politeknik Metal Sanayi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Politeknik Metal Sanayi 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 Politeknik Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Politeknik Metal Sanayi has no effect on the direction of Bosch Fren i.e., Bosch Fren and Politeknik Metal go up and down completely randomly.
Pair Corralation between Bosch Fren and Politeknik Metal
Assuming the 90 days trading horizon Bosch Fren Sistemleri is expected to under-perform the Politeknik Metal. But the stock apears to be less risky and, when comparing its historical volatility, Bosch Fren Sistemleri is 1.12 times less risky than Politeknik Metal. The stock trades about -0.04 of its potential returns per unit of risk. The Politeknik Metal Sanayi is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 719,750 in Politeknik Metal Sanayi on September 14, 2024 and sell it today you would lose (6,750) from holding Politeknik Metal Sanayi or give up 0.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bosch Fren Sistemleri vs. Politeknik Metal Sanayi
Performance |
Timeline |
Bosch Fren Sistemleri |
Politeknik Metal Sanayi |
Bosch Fren and Politeknik Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bosch Fren and Politeknik Metal
The main advantage of trading using opposite Bosch Fren and Politeknik Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bosch Fren position performs unexpectedly, Politeknik Metal 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 Politeknik Metal will offset losses from the drop in Politeknik Metal's long position.Bosch Fren vs. Politeknik Metal Sanayi | Bosch Fren vs. Bms Birlesik Metal | Bosch Fren vs. Cuhadaroglu Metal Sanayi | 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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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