Correlation Between Columbia Sportswear and Samsung SDI
Can any of the company-specific risk be diversified away by investing in both Columbia Sportswear and Samsung SDI 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 Samsung SDI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Sportswear and Samsung SDI Co, you can compare the effects of market volatilities on Columbia Sportswear and Samsung SDI 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 Samsung SDI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Sportswear and Samsung SDI.
Diversification Opportunities for Columbia Sportswear and Samsung SDI
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Columbia and Samsung is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Sportswear and Samsung SDI Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung SDI 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 Samsung SDI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung SDI has no effect on the direction of Columbia Sportswear i.e., Columbia Sportswear and Samsung SDI go up and down completely randomly.
Pair Corralation between Columbia Sportswear and Samsung SDI
Assuming the 90 days horizon Columbia Sportswear is expected to generate 0.61 times more return on investment than Samsung SDI. However, Columbia Sportswear is 1.64 times less risky than Samsung SDI. It trades about 0.01 of its potential returns per unit of risk. Samsung SDI Co is currently generating about -0.06 per unit of risk. If you would invest 8,035 in Columbia Sportswear on October 10, 2024 and sell it today you would lose (35.00) from holding Columbia Sportswear or give up 0.44% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Sportswear vs. Samsung SDI Co
Performance |
Timeline |
Columbia Sportswear |
Samsung SDI |
Columbia Sportswear and Samsung SDI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Sportswear and Samsung SDI
The main advantage of trading using opposite Columbia Sportswear and Samsung SDI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Sportswear position performs unexpectedly, Samsung SDI 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 Samsung SDI will offset losses from the drop in Samsung SDI's long position.Columbia Sportswear vs. CALTAGIRONE EDITORE | Columbia Sportswear vs. MARKET VECTR RETAIL | Columbia Sportswear vs. Xiwang Special Steel | Columbia Sportswear vs. RETAIL FOOD GROUP |
Samsung SDI vs. Hon Hai Precision | Samsung SDI vs. Sunny Optical Technology | Samsung SDI vs. Superior Plus Corp | Samsung SDI vs. NMI Holdings |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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