Correlation Between Columbia Sportswear and Prosiebensat
Can any of the company-specific risk be diversified away by investing in both Columbia Sportswear and Prosiebensat 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 Prosiebensat into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Columbia Sportswear and Prosiebensat 1 Media, you can compare the effects of market volatilities on Columbia Sportswear and Prosiebensat 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 Prosiebensat. Check out your portfolio center. Please also check ongoing floating volatility patterns of Columbia Sportswear and Prosiebensat.
Diversification Opportunities for Columbia Sportswear and Prosiebensat
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Columbia and Prosiebensat is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Columbia Sportswear and Prosiebensat 1 Media in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Prosiebensat 1 Media 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 Prosiebensat. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Prosiebensat 1 Media has no effect on the direction of Columbia Sportswear i.e., Columbia Sportswear and Prosiebensat go up and down completely randomly.
Pair Corralation between Columbia Sportswear and Prosiebensat
Assuming the 90 days horizon Columbia Sportswear is expected to generate 0.73 times more return on investment than Prosiebensat. However, Columbia Sportswear is 1.37 times less risky than Prosiebensat. It trades about 0.07 of its potential returns per unit of risk. Prosiebensat 1 Media is currently generating about -0.08 per unit of risk. If you would invest 7,242 in Columbia Sportswear on September 29, 2024 and sell it today you would earn a total of 1,008 from holding Columbia Sportswear or generate 13.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Columbia Sportswear vs. Prosiebensat 1 Media
Performance |
Timeline |
Columbia Sportswear |
Prosiebensat 1 Media |
Columbia Sportswear and Prosiebensat Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Columbia Sportswear and Prosiebensat
The main advantage of trading using opposite Columbia Sportswear and Prosiebensat positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Columbia Sportswear position performs unexpectedly, Prosiebensat 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 Prosiebensat will offset losses from the drop in Prosiebensat's long position.Columbia Sportswear vs. KINGBOARD CHEMICAL | Columbia Sportswear vs. The Hanover Insurance | Columbia Sportswear vs. Siamgas And Petrochemicals | Columbia Sportswear vs. Sekisui Chemical Co |
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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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