Correlation Between United Natural and Commercial Vehicle
Can any of the company-specific risk be diversified away by investing in both United Natural 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 Natural 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 Natural Foods and Commercial Vehicle Group, you can compare the effects of market volatilities on United Natural 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 Natural with a short position of Commercial Vehicle. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Natural and Commercial Vehicle.
Diversification Opportunities for United Natural and Commercial Vehicle
-0.78 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between United and Commercial is -0.78. Overlapping area represents the amount of risk that can be diversified away by holding United Natural Foods and Commercial Vehicle Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commercial Vehicle and United Natural 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 Natural Foods 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 Natural i.e., United Natural and Commercial Vehicle go up and down completely randomly.
Pair Corralation between United Natural and Commercial Vehicle
Assuming the 90 days horizon United Natural Foods is expected to generate 1.29 times more return on investment than Commercial Vehicle. However, United Natural is 1.29 times more volatile than Commercial Vehicle Group. It trades about 0.01 of its potential returns per unit of risk. Commercial Vehicle Group is currently generating about -0.06 per unit of risk. If you would invest 3,551 in United Natural Foods on October 11, 2024 and sell it today you would lose (836.00) from holding United Natural Foods or give up 23.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
United Natural Foods vs. Commercial Vehicle Group
Performance |
Timeline |
United Natural Foods |
Commercial Vehicle |
United Natural and Commercial Vehicle Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Natural and Commercial Vehicle
The main advantage of trading using opposite United Natural and Commercial Vehicle positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Natural 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 Natural vs. Austevoll Seafood ASA | United Natural vs. THAI BEVERAGE | United Natural vs. Endeavour Mining PLC | United Natural vs. SENECA FOODS A |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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