Correlation Between Commercial Vehicle and CarsalesCom
Can any of the company-specific risk be diversified away by investing in both Commercial Vehicle and CarsalesCom 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 Commercial Vehicle and CarsalesCom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Commercial Vehicle Group and CarsalesCom, you can compare the effects of market volatilities on Commercial Vehicle and CarsalesCom 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 Commercial Vehicle with a short position of CarsalesCom. Check out your portfolio center. Please also check ongoing floating volatility patterns of Commercial Vehicle and CarsalesCom.
Diversification Opportunities for Commercial Vehicle and CarsalesCom
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Commercial and CarsalesCom is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Commercial Vehicle Group and CarsalesCom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CarsalesCom and Commercial Vehicle 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 Commercial Vehicle Group are associated (or correlated) with CarsalesCom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CarsalesCom has no effect on the direction of Commercial Vehicle i.e., Commercial Vehicle and CarsalesCom go up and down completely randomly.
Pair Corralation between Commercial Vehicle and CarsalesCom
Assuming the 90 days trading horizon Commercial Vehicle Group is expected to under-perform the CarsalesCom. In addition to that, Commercial Vehicle is 2.37 times more volatile than CarsalesCom. It trades about -0.1 of its total potential returns per unit of risk. CarsalesCom is currently generating about 0.07 per unit of volatility. If you would invest 2,220 in CarsalesCom on October 25, 2024 and sell it today you would earn a total of 120.00 from holding CarsalesCom or generate 5.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Commercial Vehicle Group vs. CarsalesCom
Performance |
Timeline |
Commercial Vehicle |
CarsalesCom |
Commercial Vehicle and CarsalesCom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Commercial Vehicle and CarsalesCom
The main advantage of trading using opposite Commercial Vehicle and CarsalesCom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Commercial Vehicle position performs unexpectedly, CarsalesCom 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 CarsalesCom will offset losses from the drop in CarsalesCom's long position.Commercial Vehicle vs. SOUTHWEST AIRLINES | Commercial Vehicle vs. Nok Airlines PCL | Commercial Vehicle vs. Goodyear Tire Rubber | Commercial Vehicle vs. Rayonier Advanced Materials |
CarsalesCom vs. Stag Industrial | CarsalesCom vs. Japan Tobacco | CarsalesCom vs. BOS BETTER ONLINE | CarsalesCom vs. De Grey Mining |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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