Correlation Between Columbia Sportswear and Konica Minolta
Can any of the company-specific risk be diversified away by investing in both Columbia Sportswear and Konica Minolta 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 Konica Minolta into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Sportswear and Konica Minolta, you can compare the effects of market volatilities on Columbia Sportswear and Konica Minolta 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 Konica Minolta. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Sportswear and Konica Minolta.
Diversification Opportunities for Columbia Sportswear and Konica Minolta
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Columbia and Konica is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Sportswear and Konica Minolta in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Konica Minolta 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 Konica Minolta. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Konica Minolta has no effect on the direction of Columbia Sportswear i.e., Columbia Sportswear and Konica Minolta go up and down completely randomly.
Pair Corralation between Columbia Sportswear and Konica Minolta
Given the investment horizon of 90 days Columbia Sportswear is expected to generate 24.5 times more return on investment than Konica Minolta. However, Columbia Sportswear is 24.5 times more volatile than Konica Minolta. It trades about 0.18 of its potential returns per unit of risk. Konica Minolta is currently generating about -0.22 per unit of risk. If you would invest 8,656 in Columbia Sportswear on October 26, 2024 and sell it today you would earn a total of 409.00 from holding Columbia Sportswear or generate 4.73% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.0% |
Values | Daily Returns |
Columbia Sportswear vs. Konica Minolta
Performance |
Timeline |
Columbia Sportswear |
Konica Minolta |
Columbia Sportswear and Konica Minolta Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Sportswear and Konica Minolta
The main advantage of trading using opposite Columbia Sportswear and Konica Minolta positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Sportswear position performs unexpectedly, Konica Minolta 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 Konica Minolta will offset losses from the drop in Konica Minolta's long position.Columbia Sportswear vs. Vince Holding Corp | Columbia Sportswear vs. Ermenegildo Zegna NV | Columbia Sportswear vs. Gildan Activewear | Columbia Sportswear vs. G III Apparel Group |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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