Correlation Between Bosch Fren and Federal Mogul
Can any of the company-specific risk be diversified away by investing in both Bosch Fren and Federal Mogul 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 Federal Mogul 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 Federal Mogul Izmit, you can compare the effects of market volatilities on Bosch Fren and Federal Mogul 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 Federal Mogul. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bosch Fren and Federal Mogul.
Diversification Opportunities for Bosch Fren and Federal Mogul
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Bosch and Federal is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding Bosch Fren Sistemleri and Federal Mogul Izmit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Mogul Izmit 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 Federal Mogul. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federal Mogul Izmit has no effect on the direction of Bosch Fren i.e., Bosch Fren and Federal Mogul go up and down completely randomly.
Pair Corralation between Bosch Fren and Federal Mogul
Assuming the 90 days trading horizon Bosch Fren Sistemleri is expected to under-perform the Federal Mogul. In addition to that, Bosch Fren is 1.02 times more volatile than Federal Mogul Izmit. It trades about -0.03 of its total potential returns per unit of risk. Federal Mogul Izmit is currently generating about -0.02 per unit of volatility. If you would invest 34,250 in Federal Mogul Izmit on September 23, 2024 and sell it today you would lose (1,750) from holding Federal Mogul Izmit or give up 5.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bosch Fren Sistemleri vs. Federal Mogul Izmit
Performance |
Timeline |
Bosch Fren Sistemleri |
Federal Mogul Izmit |
Bosch Fren and Federal Mogul Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bosch Fren and Federal Mogul
The main advantage of trading using opposite Bosch Fren and Federal Mogul positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bosch Fren position performs unexpectedly, Federal Mogul 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 Federal Mogul will offset losses from the drop in Federal Mogul'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 |
Federal Mogul vs. Ford Otomotiv Sanayi | Federal Mogul vs. Tofas Turk Otomobil | Federal Mogul vs. Hektas Ticaret TAS | Federal Mogul 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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