Correlation Between Columbia Sportswear and Qingling Motors
Can any of the company-specific risk be diversified away by investing in both Columbia Sportswear and Qingling Motors 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 Qingling Motors into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Sportswear and Qingling Motors Co, you can compare the effects of market volatilities on Columbia Sportswear and Qingling Motors 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 Qingling Motors. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Sportswear and Qingling Motors.
Diversification Opportunities for Columbia Sportswear and Qingling Motors
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Columbia and Qingling is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Sportswear and Qingling Motors Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qingling Motors 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 Qingling Motors. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qingling Motors has no effect on the direction of Columbia Sportswear i.e., Columbia Sportswear and Qingling Motors go up and down completely randomly.
Pair Corralation between Columbia Sportswear and Qingling Motors
Assuming the 90 days horizon Columbia Sportswear is expected to generate 0.87 times more return on investment than Qingling Motors. However, Columbia Sportswear is 1.15 times less risky than Qingling Motors. It trades about 0.08 of its potential returns per unit of risk. Qingling Motors Co is currently generating about -0.03 per unit of risk. If you would invest 8,250 in Columbia Sportswear on October 27, 2024 and sell it today you would earn a total of 150.00 from holding Columbia Sportswear or generate 1.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Sportswear vs. Qingling Motors Co
Performance |
Timeline |
Columbia Sportswear |
Qingling Motors |
Columbia Sportswear and Qingling Motors Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Sportswear and Qingling Motors
The main advantage of trading using opposite Columbia Sportswear and Qingling Motors positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Sportswear position performs unexpectedly, Qingling Motors 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 Qingling Motors will offset losses from the drop in Qingling Motors' long position.Columbia Sportswear vs. HM HENMAUUNSPADR 15 | Columbia Sportswear vs. H M Hennes | Columbia Sportswear vs. H M Hennes | Columbia Sportswear vs. Moncler SpA |
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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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
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