Correlation Between Columbia Sportswear and CHINA DISPLAY
Can any of the company-specific risk be diversified away by investing in both Columbia Sportswear and CHINA DISPLAY 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 CHINA DISPLAY into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Sportswear and CHINA DISPLAY OTHHD 10, you can compare the effects of market volatilities on Columbia Sportswear and CHINA DISPLAY 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 CHINA DISPLAY. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Sportswear and CHINA DISPLAY.
Diversification Opportunities for Columbia Sportswear and CHINA DISPLAY
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Columbia and CHINA is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Sportswear and CHINA DISPLAY OTHHD 10 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHINA DISPLAY OTHHD 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 CHINA DISPLAY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHINA DISPLAY OTHHD has no effect on the direction of Columbia Sportswear i.e., Columbia Sportswear and CHINA DISPLAY go up and down completely randomly.
Pair Corralation between Columbia Sportswear and CHINA DISPLAY
Assuming the 90 days horizon Columbia Sportswear is expected to under-perform the CHINA DISPLAY. But the stock apears to be less risky and, when comparing its historical volatility, Columbia Sportswear is 2.4 times less risky than CHINA DISPLAY. The stock trades about -0.08 of its potential returns per unit of risk. The CHINA DISPLAY OTHHD 10 is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 1.90 in CHINA DISPLAY OTHHD 10 on April 24, 2025 and sell it today you would earn a total of 1.05 from holding CHINA DISPLAY OTHHD 10 or generate 55.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Sportswear vs. CHINA DISPLAY OTHHD 10
Performance |
Timeline |
Columbia Sportswear |
CHINA DISPLAY OTHHD |
Columbia Sportswear and CHINA DISPLAY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Sportswear and CHINA DISPLAY
The main advantage of trading using opposite Columbia Sportswear and CHINA DISPLAY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Sportswear position performs unexpectedly, CHINA DISPLAY 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 CHINA DISPLAY will offset losses from the drop in CHINA DISPLAY's long position.Columbia Sportswear vs. Iridium Communications | Columbia Sportswear vs. Hemisphere Energy Corp | Columbia Sportswear vs. Universal Display | Columbia Sportswear vs. Rogers Communications |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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