Correlation Between COLUMBIA SPORTSWEAR and Unipol Gruppo
Can any of the company-specific risk be diversified away by investing in both COLUMBIA SPORTSWEAR and Unipol Gruppo 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 Unipol Gruppo into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between COLUMBIA SPORTSWEAR and Unipol Gruppo Finanziario, you can compare the effects of market volatilities on COLUMBIA SPORTSWEAR and Unipol Gruppo 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 Unipol Gruppo. Check out your portfolio center. Please also check ongoing floating volatility patterns of COLUMBIA SPORTSWEAR and Unipol Gruppo.
Diversification Opportunities for COLUMBIA SPORTSWEAR and Unipol Gruppo
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between COLUMBIA and Unipol is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding COLUMBIA SPORTSWEAR and Unipol Gruppo Finanziario in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Unipol Gruppo Finanziario 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 Unipol Gruppo. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Unipol Gruppo Finanziario has no effect on the direction of COLUMBIA SPORTSWEAR i.e., COLUMBIA SPORTSWEAR and Unipol Gruppo go up and down completely randomly.
Pair Corralation between COLUMBIA SPORTSWEAR and Unipol Gruppo
Assuming the 90 days trading horizon COLUMBIA SPORTSWEAR is expected to under-perform the Unipol Gruppo. In addition to that, COLUMBIA SPORTSWEAR is 1.43 times more volatile than Unipol Gruppo Finanziario. It trades about -0.11 of its total potential returns per unit of risk. Unipol Gruppo Finanziario is currently generating about 0.31 per unit of volatility. If you would invest 1,164 in Unipol Gruppo Finanziario on December 21, 2024 and sell it today you would earn a total of 363.00 from holding Unipol Gruppo Finanziario or generate 31.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
COLUMBIA SPORTSWEAR vs. Unipol Gruppo Finanziario
Performance |
Timeline |
COLUMBIA SPORTSWEAR |
Unipol Gruppo Finanziario |
COLUMBIA SPORTSWEAR and Unipol Gruppo Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with COLUMBIA SPORTSWEAR and Unipol Gruppo
The main advantage of trading using opposite COLUMBIA SPORTSWEAR and Unipol Gruppo positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if COLUMBIA SPORTSWEAR position performs unexpectedly, Unipol Gruppo 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 Unipol Gruppo will offset losses from the drop in Unipol Gruppo's long position.COLUMBIA SPORTSWEAR vs. China Railway Construction | COLUMBIA SPORTSWEAR vs. DAIRY FARM INTL | COLUMBIA SPORTSWEAR vs. Hitachi Construction Machinery | COLUMBIA SPORTSWEAR vs. Algonquin Power Utilities |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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