Correlation Between Sony Group and Columbia Sportswear
Can any of the company-specific risk be diversified away by investing in both Sony Group 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 Sony Group and Columbia Sportswear into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sony Group Corp and Columbia Sportswear, you can compare the effects of market volatilities on Sony Group 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 Sony Group with a short position of Columbia Sportswear. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sony Group and Columbia Sportswear.
Diversification Opportunities for Sony Group and Columbia Sportswear
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Sony and Columbia is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Sony Group Corp and Columbia Sportswear in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Columbia Sportswear and Sony Group 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 Sony Group Corp 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 Sony Group i.e., Sony Group and Columbia Sportswear go up and down completely randomly.
Pair Corralation between Sony Group and Columbia Sportswear
Assuming the 90 days trading horizon Sony Group Corp is expected to generate 1.01 times more return on investment than Columbia Sportswear. However, Sony Group is 1.01 times more volatile than Columbia Sportswear. It trades about 0.16 of its potential returns per unit of risk. Columbia Sportswear is currently generating about 0.08 per unit of risk. If you would invest 1,720 in Sony Group Corp on October 7, 2024 and sell it today you would earn a total of 320.00 from holding Sony Group Corp or generate 18.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Sony Group Corp vs. Columbia Sportswear
Performance |
Timeline |
Sony Group Corp |
Columbia Sportswear |
Sony Group and Columbia Sportswear Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sony Group and Columbia Sportswear
The main advantage of trading using opposite Sony Group and Columbia Sportswear positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sony Group 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.Sony Group vs. Alliance Data Systems | Sony Group vs. DATA MODUL | Sony Group vs. Hyrican Informationssysteme Aktiengesellschaft | Sony Group vs. DATAGROUP SE |
Columbia Sportswear vs. MOLSON RS BEVERAGE | Columbia Sportswear vs. CARSALESCOM | Columbia Sportswear vs. Tradeweb Markets | Columbia Sportswear vs. CarsalesCom |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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