Correlation Between Adidas AG and Xinhua Winshare
Can any of the company-specific risk be diversified away by investing in both Adidas AG and Xinhua Winshare 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 Adidas AG and Xinhua Winshare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between adidas AG and Xinhua Winshare Publishing, you can compare the effects of market volatilities on Adidas AG and Xinhua Winshare 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 Adidas AG with a short position of Xinhua Winshare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Adidas AG and Xinhua Winshare.
Diversification Opportunities for Adidas AG and Xinhua Winshare
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Adidas and Xinhua is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding adidas AG and Xinhua Winshare Publishing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xinhua Winshare Publ and Adidas AG 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 adidas AG are associated (or correlated) with Xinhua Winshare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xinhua Winshare Publ has no effect on the direction of Adidas AG i.e., Adidas AG and Xinhua Winshare go up and down completely randomly.
Pair Corralation between Adidas AG and Xinhua Winshare
Assuming the 90 days trading horizon Adidas AG is expected to generate 19.72 times less return on investment than Xinhua Winshare. But when comparing it to its historical volatility, adidas AG is 1.31 times less risky than Xinhua Winshare. It trades about 0.05 of its potential returns per unit of risk. Xinhua Winshare Publishing is currently generating about 0.68 of returns per unit of risk over similar time horizon. If you would invest 119.00 in Xinhua Winshare Publishing on October 4, 2024 and sell it today you would earn a total of 25.00 from holding Xinhua Winshare Publishing or generate 21.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
adidas AG vs. Xinhua Winshare Publishing
Performance |
Timeline |
adidas AG |
Xinhua Winshare Publ |
Adidas AG and Xinhua Winshare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Adidas AG and Xinhua Winshare
The main advantage of trading using opposite Adidas AG and Xinhua Winshare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Adidas AG position performs unexpectedly, Xinhua Winshare 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 Xinhua Winshare will offset losses from the drop in Xinhua Winshare's long position.Adidas AG vs. Superior Plus Corp | Adidas AG vs. NMI Holdings | Adidas AG vs. Origin Agritech | Adidas AG vs. SIVERS SEMICONDUCTORS AB |
Xinhua Winshare vs. NMI Holdings | Xinhua Winshare vs. SIVERS SEMICONDUCTORS AB | Xinhua Winshare vs. Talanx AG | Xinhua Winshare vs. NorAm Drilling AS |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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