Correlation Between Columbia Sportswear and CITY OFFICE
Can any of the company-specific risk be diversified away by investing in both Columbia Sportswear and CITY OFFICE 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 CITY OFFICE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Sportswear and CITY OFFICE REIT, you can compare the effects of market volatilities on Columbia Sportswear and CITY OFFICE 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 CITY OFFICE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Sportswear and CITY OFFICE.
Diversification Opportunities for Columbia Sportswear and CITY OFFICE
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Columbia and CITY is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Sportswear and CITY OFFICE REIT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CITY OFFICE REIT 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 CITY OFFICE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CITY OFFICE REIT has no effect on the direction of Columbia Sportswear i.e., Columbia Sportswear and CITY OFFICE go up and down completely randomly.
Pair Corralation between Columbia Sportswear and CITY OFFICE
Assuming the 90 days horizon Columbia Sportswear is expected to generate 1.07 times less return on investment than CITY OFFICE. But when comparing it to its historical volatility, Columbia Sportswear is 1.53 times less risky than CITY OFFICE. It trades about 0.12 of its potential returns per unit of risk. CITY OFFICE REIT is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 495.00 in CITY OFFICE REIT on September 1, 2024 and sell it today you would earn a total of 65.00 from holding CITY OFFICE REIT or generate 13.13% 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. CITY OFFICE REIT
Performance |
Timeline |
Columbia Sportswear |
CITY OFFICE REIT |
Columbia Sportswear and CITY OFFICE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Sportswear and CITY OFFICE
The main advantage of trading using opposite Columbia Sportswear and CITY OFFICE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Sportswear position performs unexpectedly, CITY OFFICE 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 CITY OFFICE will offset losses from the drop in CITY OFFICE's long position.Columbia Sportswear vs. Ralph Lauren | Columbia Sportswear vs. Superior Plus Corp | Columbia Sportswear vs. NMI Holdings | Columbia Sportswear vs. Origin Agritech |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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