Correlation Between Columbia Sportswear and United Homes
Can any of the company-specific risk be diversified away by investing in both Columbia Sportswear and United Homes 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 United Homes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Sportswear and United Homes Group, you can compare the effects of market volatilities on Columbia Sportswear and United Homes 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 United Homes. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Sportswear and United Homes.
Diversification Opportunities for Columbia Sportswear and United Homes
0.41 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Columbia and United is 0.41. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Sportswear and United Homes Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Homes Group 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 United Homes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Homes Group has no effect on the direction of Columbia Sportswear i.e., Columbia Sportswear and United Homes go up and down completely randomly.
Pair Corralation between Columbia Sportswear and United Homes
Given the investment horizon of 90 days Columbia Sportswear is expected to generate 0.45 times more return on investment than United Homes. However, Columbia Sportswear is 2.24 times less risky than United Homes. It trades about 0.09 of its potential returns per unit of risk. United Homes Group is currently generating about 0.03 per unit of risk. If you would invest 8,119 in Columbia Sportswear on September 5, 2024 and sell it today you would earn a total of 716.00 from holding Columbia Sportswear or generate 8.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Columbia Sportswear vs. United Homes Group
Performance |
Timeline |
Columbia Sportswear |
United Homes Group |
Columbia Sportswear and United Homes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Sportswear and United Homes
The main advantage of trading using opposite Columbia Sportswear and United Homes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Sportswear position performs unexpectedly, United Homes 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 United Homes will offset losses from the drop in United Homes' long position.Columbia Sportswear vs. Vince Holding Corp | Columbia Sportswear vs. Ermenegildo Zegna NV | Columbia Sportswear vs. Gildan Activewear | Columbia Sportswear vs. G III Apparel Group |
United Homes vs. Bausch Lomb Corp | United Homes vs. Merit Medical Systems | United Homes vs. Guangdong Investment Limited | United Homes vs. Nyxoah |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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