Correlation Between United States and COMMERCIAL VEHICLE
Can any of the company-specific risk be diversified away by investing in both United States and COMMERCIAL VEHICLE 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 United States and COMMERCIAL VEHICLE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United States Steel and COMMERCIAL VEHICLE, you can compare the effects of market volatilities on United States and COMMERCIAL VEHICLE 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 United States with a short position of COMMERCIAL VEHICLE. Check out your portfolio center. Please also check ongoing floating volatility patterns of United States and COMMERCIAL VEHICLE.
Diversification Opportunities for United States and COMMERCIAL VEHICLE
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between United and COMMERCIAL is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding United States Steel and COMMERCIAL VEHICLE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COMMERCIAL VEHICLE and United States 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 United States Steel are associated (or correlated) with COMMERCIAL VEHICLE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COMMERCIAL VEHICLE has no effect on the direction of United States i.e., United States and COMMERCIAL VEHICLE go up and down completely randomly.
Pair Corralation between United States and COMMERCIAL VEHICLE
Assuming the 90 days trading horizon United States Steel is expected to under-perform the COMMERCIAL VEHICLE. In addition to that, United States is 1.04 times more volatile than COMMERCIAL VEHICLE. It trades about -0.25 of its total potential returns per unit of risk. COMMERCIAL VEHICLE is currently generating about -0.08 per unit of volatility. If you would invest 240.00 in COMMERCIAL VEHICLE on October 8, 2024 and sell it today you would lose (16.00) from holding COMMERCIAL VEHICLE or give up 6.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
United States Steel vs. COMMERCIAL VEHICLE
Performance |
Timeline |
United States Steel |
COMMERCIAL VEHICLE |
United States and COMMERCIAL VEHICLE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United States and COMMERCIAL VEHICLE
The main advantage of trading using opposite United States and COMMERCIAL VEHICLE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United States position performs unexpectedly, COMMERCIAL VEHICLE 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 COMMERCIAL VEHICLE will offset losses from the drop in COMMERCIAL VEHICLE's long position.United States vs. CSSC Offshore Marine | United States vs. CompuGroup Medical SE | United States vs. SCANDMEDICAL SOLDK 040 | United States vs. Easy Software AG |
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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 File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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