Correlation Between Columbia Sportswear and Yanzhou Coal
Can any of the company-specific risk be diversified away by investing in both Columbia Sportswear and Yanzhou Coal 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 Yanzhou Coal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Sportswear and Yanzhou Coal Mining, you can compare the effects of market volatilities on Columbia Sportswear and Yanzhou Coal 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 Yanzhou Coal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Sportswear and Yanzhou Coal.
Diversification Opportunities for Columbia Sportswear and Yanzhou Coal
-0.52 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Columbia and Yanzhou is -0.52. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Sportswear and Yanzhou Coal Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yanzhou Coal Mining 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 Yanzhou Coal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yanzhou Coal Mining has no effect on the direction of Columbia Sportswear i.e., Columbia Sportswear and Yanzhou Coal go up and down completely randomly.
Pair Corralation between Columbia Sportswear and Yanzhou Coal
Assuming the 90 days horizon Columbia Sportswear is expected to generate 0.51 times more return on investment than Yanzhou Coal. However, Columbia Sportswear is 1.97 times less risky than Yanzhou Coal. It trades about 0.12 of its potential returns per unit of risk. Yanzhou Coal Mining is currently generating about 0.05 per unit of risk. If you would invest 7,322 in Columbia Sportswear on September 23, 2024 and sell it today you would earn a total of 1,078 from holding Columbia Sportswear or generate 14.72% 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. Yanzhou Coal Mining
Performance |
Timeline |
Columbia Sportswear |
Yanzhou Coal Mining |
Columbia Sportswear and Yanzhou Coal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Sportswear and Yanzhou Coal
The main advantage of trading using opposite Columbia Sportswear and Yanzhou Coal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Sportswear position performs unexpectedly, Yanzhou Coal 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 Yanzhou Coal will offset losses from the drop in Yanzhou Coal's 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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