Correlation Between Xinhua Winshare and Microsoft
Can any of the company-specific risk be diversified away by investing in both Xinhua Winshare and Microsoft 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 Xinhua Winshare and Microsoft into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xinhua Winshare Publishing and Microsoft, you can compare the effects of market volatilities on Xinhua Winshare and Microsoft 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 Xinhua Winshare with a short position of Microsoft. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xinhua Winshare and Microsoft.
Diversification Opportunities for Xinhua Winshare and Microsoft
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Xinhua and Microsoft is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding Xinhua Winshare Publishing and Microsoft in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Microsoft and Xinhua Winshare 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 Xinhua Winshare Publishing are associated (or correlated) with Microsoft. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Microsoft has no effect on the direction of Xinhua Winshare i.e., Xinhua Winshare and Microsoft go up and down completely randomly.
Pair Corralation between Xinhua Winshare and Microsoft
Assuming the 90 days horizon Xinhua Winshare Publishing is expected to generate 2.05 times more return on investment than Microsoft. However, Xinhua Winshare is 2.05 times more volatile than Microsoft. It trades about 0.22 of its potential returns per unit of risk. Microsoft is currently generating about 0.1 per unit of risk. If you would invest 86.00 in Xinhua Winshare Publishing on September 17, 2024 and sell it today you would earn a total of 44.00 from holding Xinhua Winshare Publishing or generate 51.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Xinhua Winshare Publishing vs. Microsoft
Performance |
Timeline |
Xinhua Winshare Publ |
Microsoft |
Xinhua Winshare and Microsoft Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xinhua Winshare and Microsoft
The main advantage of trading using opposite Xinhua Winshare and Microsoft positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xinhua Winshare position performs unexpectedly, Microsoft 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 Microsoft will offset losses from the drop in Microsoft's long position.Xinhua Winshare vs. Superior Plus Corp | Xinhua Winshare vs. SIVERS SEMICONDUCTORS AB | Xinhua Winshare vs. Norsk Hydro ASA | Xinhua Winshare vs. Reliance Steel Aluminum |
Microsoft vs. Xinhua Winshare Publishing | Microsoft vs. Grand Canyon Education | Microsoft vs. DeVry Education Group | Microsoft vs. EMBARK EDUCATION LTD |
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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