Correlation Between Columbia Sportswear and BG Foods
Can any of the company-specific risk be diversified away by investing in both Columbia Sportswear and BG Foods 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 Columbia Sportswear and BG Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Sportswear and BG Foods, you can compare the effects of market volatilities on Columbia Sportswear and BG Foods 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 Columbia Sportswear with a short position of BG Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Sportswear and BG Foods.
Diversification Opportunities for Columbia Sportswear and BG Foods
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Columbia and DHR is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Sportswear and BG Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BG Foods and Columbia Sportswear 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 Columbia Sportswear are associated (or correlated) with BG Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BG Foods has no effect on the direction of Columbia Sportswear i.e., Columbia Sportswear and BG Foods go up and down completely randomly.
Pair Corralation between Columbia Sportswear and BG Foods
Assuming the 90 days horizon Columbia Sportswear is expected to generate 0.57 times more return on investment than BG Foods. However, Columbia Sportswear is 1.76 times less risky than BG Foods. It trades about 0.1 of its potential returns per unit of risk. BG Foods is currently generating about -0.02 per unit of risk. If you would invest 7,272 in Columbia Sportswear on October 10, 2024 and sell it today you would earn a total of 728.00 from holding Columbia Sportswear or generate 10.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Sportswear vs. BG Foods
Performance |
Timeline |
Columbia Sportswear |
BG Foods |
Columbia Sportswear and BG Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Sportswear and BG Foods
The main advantage of trading using opposite Columbia Sportswear and BG Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Sportswear position performs unexpectedly, BG Foods 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 BG Foods will offset losses from the drop in BG Foods' long position.Columbia Sportswear vs. CALTAGIRONE EDITORE | Columbia Sportswear vs. MARKET VECTR RETAIL | Columbia Sportswear vs. Xiwang Special Steel | Columbia Sportswear vs. RETAIL FOOD GROUP |
BG Foods vs. Monster Beverage Corp | BG Foods vs. Infrastrutture Wireless Italiane | BG Foods vs. 24SEVENOFFICE GROUP AB | BG Foods vs. OFFICE DEPOT |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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