Correlation Between COLUMBIA SPORTSWEAR and THAI BEVERAGE
Can any of the company-specific risk be diversified away by investing in both COLUMBIA SPORTSWEAR and THAI BEVERAGE 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 THAI BEVERAGE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between COLUMBIA SPORTSWEAR and THAI BEVERAGE, you can compare the effects of market volatilities on COLUMBIA SPORTSWEAR and THAI BEVERAGE 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 THAI BEVERAGE. Check out your portfolio center. Please also check ongoing floating volatility patterns of COLUMBIA SPORTSWEAR and THAI BEVERAGE.
Diversification Opportunities for COLUMBIA SPORTSWEAR and THAI BEVERAGE
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between COLUMBIA and THAI is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding COLUMBIA SPORTSWEAR and THAI BEVERAGE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on THAI BEVERAGE 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 THAI BEVERAGE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of THAI BEVERAGE has no effect on the direction of COLUMBIA SPORTSWEAR i.e., COLUMBIA SPORTSWEAR and THAI BEVERAGE go up and down completely randomly.
Pair Corralation between COLUMBIA SPORTSWEAR and THAI BEVERAGE
Assuming the 90 days trading horizon COLUMBIA SPORTSWEAR is expected to generate 0.97 times more return on investment than THAI BEVERAGE. However, COLUMBIA SPORTSWEAR is 1.03 times less risky than THAI BEVERAGE. It trades about 0.06 of its potential returns per unit of risk. THAI BEVERAGE is currently generating about -0.06 per unit of risk. If you would invest 8,300 in COLUMBIA SPORTSWEAR on November 29, 2024 and sell it today you would earn a total of 450.00 from holding COLUMBIA SPORTSWEAR or generate 5.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
COLUMBIA SPORTSWEAR vs. THAI BEVERAGE
Performance |
Timeline |
COLUMBIA SPORTSWEAR |
THAI BEVERAGE |
COLUMBIA SPORTSWEAR and THAI BEVERAGE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COLUMBIA SPORTSWEAR and THAI BEVERAGE
The main advantage of trading using opposite COLUMBIA SPORTSWEAR and THAI BEVERAGE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COLUMBIA SPORTSWEAR position performs unexpectedly, THAI BEVERAGE 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 THAI BEVERAGE will offset losses from the drop in THAI BEVERAGE's long position.COLUMBIA SPORTSWEAR vs. FIREWEED METALS P | COLUMBIA SPORTSWEAR vs. DISTRICT METALS | COLUMBIA SPORTSWEAR vs. GRIFFIN MINING LTD | COLUMBIA SPORTSWEAR vs. MCEWEN MINING INC |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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