Correlation Between Moncler SpA and Columbia Sportswear
Can any of the company-specific risk be diversified away by investing in both Moncler SpA and Columbia Sportswear 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 Moncler SpA and Columbia Sportswear into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Moncler SpA and Columbia Sportswear, you can compare the effects of market volatilities on Moncler SpA and Columbia Sportswear 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 Moncler SpA with a short position of Columbia Sportswear. Check out your portfolio center. Please also check ongoing floating volatility patterns of Moncler SpA and Columbia Sportswear.
Diversification Opportunities for Moncler SpA and Columbia Sportswear
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Moncler and Columbia is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Moncler SpA and Columbia Sportswear in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Sportswear and Moncler SpA 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 Moncler SpA are associated (or correlated) with Columbia Sportswear. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Columbia Sportswear has no effect on the direction of Moncler SpA i.e., Moncler SpA and Columbia Sportswear go up and down completely randomly.
Pair Corralation between Moncler SpA and Columbia Sportswear
Assuming the 90 days horizon Moncler SpA is expected to generate 1.41 times more return on investment than Columbia Sportswear. However, Moncler SpA is 1.41 times more volatile than Columbia Sportswear. It trades about 0.28 of its potential returns per unit of risk. Columbia Sportswear is currently generating about 0.01 per unit of risk. If you would invest 4,653 in Moncler SpA on October 1, 2024 and sell it today you would earn a total of 419.00 from holding Moncler SpA or generate 9.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Moncler SpA vs. Columbia Sportswear
Performance |
Timeline |
Moncler SpA |
Columbia Sportswear |
Moncler SpA and Columbia Sportswear Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Moncler SpA and Columbia Sportswear
The main advantage of trading using opposite Moncler SpA and Columbia Sportswear positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Moncler SpA position performs unexpectedly, Columbia Sportswear 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 Columbia Sportswear will offset losses from the drop in Columbia Sportswear's long position.Moncler SpA vs. HM HENMAUUNSPADR 15 | Moncler SpA vs. H M Hennes | Moncler SpA vs. VF Corporation | Moncler SpA vs. Ralph Lauren |
Columbia Sportswear vs. HM HENMAUUNSPADR 15 | Columbia Sportswear vs. H M Hennes | Columbia Sportswear vs. Moncler SpA | Columbia Sportswear vs. VF Corporation |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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