Correlation Between Qingling Motors and Columbia Sportswear
Can any of the company-specific risk be diversified away by investing in both Qingling Motors and Columbia Sportswear 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 Qingling Motors and Columbia Sportswear into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Qingling Motors Co and Columbia Sportswear, you can compare the effects of market volatilities on Qingling Motors and Columbia Sportswear 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 Qingling Motors with a short position of Columbia Sportswear. Check out your portfolio center. Please also check ongoing floating volatility patterns of Qingling Motors and Columbia Sportswear.
Diversification Opportunities for Qingling Motors and Columbia Sportswear
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Qingling and Columbia is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Qingling Motors Co and Columbia Sportswear in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Sportswear and Qingling Motors 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 Qingling Motors Co are associated (or correlated) with Columbia Sportswear. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Sportswear has no effect on the direction of Qingling Motors i.e., Qingling Motors and Columbia Sportswear go up and down completely randomly.
Pair Corralation between Qingling Motors and Columbia Sportswear
Assuming the 90 days horizon Qingling Motors Co is expected to generate 1.71 times more return on investment than Columbia Sportswear. However, Qingling Motors is 1.71 times more volatile than Columbia Sportswear. It trades about -0.2 of its potential returns per unit of risk. Columbia Sportswear is currently generating about -0.37 per unit of risk. If you would invest 6.52 in Qingling Motors Co on October 12, 2024 and sell it today you would lose (0.40) from holding Qingling Motors Co or give up 6.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Qingling Motors Co vs. Columbia Sportswear
Performance |
Timeline |
Qingling Motors |
Columbia Sportswear |
Qingling Motors and Columbia Sportswear Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Qingling Motors and Columbia Sportswear
The main advantage of trading using opposite Qingling Motors and Columbia Sportswear positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Qingling Motors position performs unexpectedly, Columbia Sportswear 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 Columbia Sportswear will offset losses from the drop in Columbia Sportswear's long position.Qingling Motors vs. Columbia Sportswear | Qingling Motors vs. BII Railway Transportation | Qingling Motors vs. GRIFFIN MINING LTD | Qingling Motors vs. USWE SPORTS AB |
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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 Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
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